key: cord-317668-cc5oyiwp authors: wieland, mark l.; doubeni, chyke a.; sia, irene g. title: mayo clinic strategies for covid-19 community engagement with vulnerable populations date: 2020-06-22 journal: mayo clin proc doi: 10.1016/j.mayocp.2020.05.041 sha: doc_id: 317668 cord_uid: cc5oyiwp nan the coronavirus disease 2019 (covid-19) pandemic has impacted vulnerable populations disproportionately, including those affected by socioeconomic disadvantage, racial discrimination, low health literacy, immigration status, and limited english proficiency. african americans, hispanics, and native americans are dying at considerably higher rates across the country than whites. 1 these differences mirror existing disparities in other preventable health conditions and stem from risks that are rooted in the social determinants of health. socioeconomic disadvantage with disparate living and working conditions has likely increased the risk of acquisition and spread of covid-19 in vulnerable communities. preexisting disparities in chronic diseases that are associated with worse covid-19 outcomes and less access to health care have resulted in a higher case-fatality rate. current evidence and our experience suggest that community engagement may be a strategy for addressing the disproportionate prevalence and mortality of covid-19 in minority communities, which are manifestations of long-standing structural and societal inequities. community engagement, "the process of working collaboratively with and through groups of people… to address issues affecting the well-being of those people," 2 can help empower communities in promoting covid-19 prevention and containment. in community-engaged research (cenr) partnerships, community members and researchers collaborate through all phases of research. these partnerships are thus uniquely poised to assess and respond to the pandemic with community partners. they have the organizational and technical experience to reach vulnerable community members and address unmet needs. authentic cenr partnerships foster credibility with vulnerable communities through existing trusting relationships, which is needed for real-time collaboration during crises. herein, we describe some of the cenr approaches used at mayo clinic in response to the needs of medically underserved and socioeconomically disadvantaged communities. the approaches are undergirded by principles of community engagement as well as frameworks for socioeconomic issues and social determinants of health. critical to the design of effective cenr interventions are bidirectional communication, colearning, and understanding of unmet needs and existing assets. 3 mayo clinic cenr partnerships have observed several factors that negatively affected local communities. while credible covid-19 information had been translated into many languages and was widely available, that information was not reaching immigrant communities. the problem was exacerbated in some communities by a legacy of mistrust of health care institutions. community partners observed disruption of health care for populations with preexisting systemic barriers to using telehealth during the rapid shift to virtual-visit platforms. we then learned that these populations lacked access to testing and rapid results, which would reduce virus transmission, and that people and organizations in some minority communities, including faith-based organizations and health centers, were unprepared for the effects the virus would have in their communities. these barriers were compounded by unstable working conditions that often resulted in unsafe situations for vulnerable populations who comprise a disproportionate share of essential workers in some sectors or in layoffs, making access to health care even more complicated. neighborhoods with higher housing density, more housing insecurity, and more multigenerational households made social distancing difficult. additionally, multiple partners across mayo clinic catchment areas access to testing for their patients. for the african-american community, an adaptation of the cerc model evolved into a virtual town hall, which was hosted by a cross-sector team of clinicians, researchers, policy leaders, and community leaders. several lessons are emerging from this work. cenr is important but not sufficient. we continue to learn about social consequences of the crisis and know that a rapid, coordinated, and sustained response is needed across sectors and disciplines that places community voice at its center. for example, community health center partners needed telehealth infrastructure support to provide ongoing care, but this was not feasible within the cenr framework. we have also learned that a virtual environment needs to evolve to maintain ongoing engagement with community members, even though making the change may be disruptive at first. early in the crisis, we paused many community engagement activities because of the need for social distancing and the disruption of institutional operations. the disparities that emerged suggested that community engagement activities should have been accelerated instead. an opportunity was also missed to shorten response time by having the partnerships do more to promote greater general awareness of the potential for pandemic and the need for preparedness. thus, a multidisciplinary team is essential, given the scale of the pandemic and the pervasive health and social consequences. clear communication with institutional leaders is also important to ensure that they understand needs of the underserved, even as they grapple with fiscal and operational challenges in their institutions. the social and structural determinants of health have been understood for decades, and such determinants are also relevant to the disparities in health care that are exacerbated by the current covid-19 crisis. the focus of multisector collaboration and community engagement should be to inform programs and policies that will eliminate the disproportionate impact of pandemics on vulnerable communities. indispensable to such initiatives are collaborative, community-led solutions in removing structural barriers to health equity that currently exist. the covid tracking project. the covid racial data tracker community engagement key function committee, task force on the principles of community engagement processes, and outcomes: a health equity-focused scoping meta-review of community-engaged scholarship leveraging community engaged research partnerships for crisis and emergency risk communication to vulnerable populations in the covid-19 pandemic enfermedad del covid-19 preventing cardiovascular disease: participant perspectives of the faith! program office of health disparities research. native american research outreach editing, proofreading, and reference verification were provided by scientific publications, mayo clinic. key: cord-353482-dz343h7t authors: ellis, matthew; pant, puspa raj title: global community child health date: 2020-05-11 journal: int j environ res public health doi: 10.3390/ijerph17093331 sha: doc_id: 353482 cord_uid: dz343h7t this special issue of ijerph has published a range of studies in this developing field of global community child health research. a number of manuscripts submitted in response to our invitation describing ‘community-based interventions which impact on child health and wellbeing around the globe. in addition to rural community-based initiatives given that most children now live in cities we are also interested to hear about urban initiatives….’ we hope this issue will of great interest to the researchers and practitioners as well as academia from the fields of global health as well as global child health because it comprised of 14 articles representing all five continents. physical activity appears a key component of the scientific community’s current conception of child well-being judging from the four papers published addressing this area. this issue also has papers on childhood obesity to rubella vaccination. despite of the journal’s strive for reaching out to a wider global child health community, this issue missed contributions relating to child safeguarding and social determinants of urban health. global community child health focusses on the health and development of children in a community context across the globe. whilst some threats to the well-being of children may be globally determined (e.g., climate change) many others are more local (e.g., a busy trunk road). whatever the level of the threat it is the mobilisation of community and household level interventions to protect and enable children which lies at the heart of global community child health [1] . community health workers facilitate these interventions working with parents and carers [2] whilst schools, children's centres, nurseries and creches provide enabling environments for interventions to reach children directly. although we know that investment in early child development remains a top priority for all communities [3] , it is becoming clearer that exclusive attention to the early years misses important opportunities both in middle childhood and the adolescent period [4] . this edition of ijerph was conceived of as an opportunity to sample a range of studies in this developing field of research. we invited studies describing community-based interventions which impact on child health and wellbeing around the globe. in addition to rural community-based initiatives, given that most children now live in cities we are also interested to hear about urban initiatives. although sustainable development goal (sdg) three was our primary focus, we were keen to hear about multi-sectoral interventions with synergistic impact across the sdgs. the 14 accepted articles are global in their reach, with papers from all five inhabited continents. physical activity appears to be a key component of the scientific community's current conception of child well-being judging from the four papers published addressing this area [5] [6] [7] [8] . of course, given the global obesity epidemic, this will remain an important issue for community child health, though given the obesogenic environment we all face following societal nutrition transition we suspect the answers to this lie further upstream in the food industry's regulatory framework [9] . infectious disease, despite the epidemiological transition, remains a major threat in childhood everywhere and several aspects come up in this special issue-not least the awareness of a disease (rubella) amongst health care workers in tanzania for which there is an available vaccine [10] . this reminds us that for vaccination, its understanding and promotion are key tasks for community health workers around the globe, even more so in this age of vaccine hesitancy. if there may be one benevolent side effect of covid-19 going forward it may be the greater appreciation of the value of vaccines! we also publish a paper presenting evidence in support of a role for a bacterial lysate to stimulate immunity in childhood [11] and an interesting exploration of traditional healers' knowledge of noma [12] , the disfiguring facial erosion encountered in children in africa, which almost certainly relates to the continuing wide spectrum of infectious disease in childhood. this paper reminds us that community health workers take many forms and a functional health system finds ways of connecting all members of the health care community. community mobilisation through groups is an important vehicle for community child health initiatives and where some of the best evidence of impact lies [13] . in this edition fathers' roles in parent groups supporting families affected by zika virus [14] links well with our review of early intervention for infants at high risk of developmental disability [15] . a team working in fiji also make use of group-based interventions in their description of what a community child health initiative looks like in an island community [16] . the social determinants of health are central to the concept of community child health [17] . these determinants operate at household, local population ("community"), national and supranational levels. we were sorry not to see any contributions relating to child safeguarding-always a sensitive and difficult research area-but one which therefore needs to be illuminated by an especially powerful light! this would be especially timely as we move globally towards legislation outlawing the corporal punishment of children (https://endcorporalpunishment.org/countdown). of course, the physical environment in which children play, go to school and all too often work also has a major impact on their health. given that environmental health is a primary concern of this journal it was good to be able to accept two papers focussing on children, the first investigating the role of toys in the transmission of diarrhoeal disease at children's centres in south africa [18] and the second an exploratory study assessing pesticide levels in children's urine in mexico [19] . strikingly, we did not receive a community-based study from an urban slum where far too many of the world's children are growing up. if we are to promote "health for all" at all ages then we must ensure that, as "a future for the world's children" [20] puts it, "children grow up in safe and healthy environments, with clean water and air and safe spaces to play". research assessing the impact of community led initiatives into road traffic injury reduction, child safeguarding and the social determinants of health in urban slums should be a focus of community child health researchers going forward. community participation: lessons for maternal, newborn, and child health integrated management of childhood illness global survey report; world health organisation early child development-a winning combination disease control priorities, c.; adolescent, h.; development authors, g. investment in child and adolescent health and development: key messages from disease control priorities international comparison of the levels and potential correlates of objectively measured sedentary time and physical activity among three-to-four-year-old children physical activity and quality of life of healthy children and patients with hematological cancers effect of a multidimensional physical activity intervention on body mass index, skinfolds and fitness in south african children: results from a cluster-randomised controlled trial goal-framing and temporal-framing: effects on the acceptance of childhood simple obesity prevention messages among preschool children's caregivers in china beyond food promotion: a systematic review on the influence of the food industry on obesity-related dietary behaviour among children stray-pedersen, a. awareness and factors associated with health care worker's knowledge on rubella infection: a study after the introduction of rubella vaccine in tanzania impact of om-85 given during two consecutive years to children with a history of recurrent respiratory tract infections: a retrospective study sociodemographic characteristics of traditional healers and their knowledge of noma: a descriptive survey in three regions of mali women's groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis engagement of fathers in parent group interventions for children with congenital zika syndrome: a qualitative study early intervention for children at high risk of developmental disability in low-and middle-income countries: a narrative review tuibeqa, i. strengthening health systems to support children with neurodevelopmental disabilities in fiji-a commentary commission on social determinants of, h. achieving health equity: from root causes to fair outcomes bacterial contamination of children's toys in rural day care centres and households in south africa urinary pesticide levels in children and adolescents residing in two agricultural communities in mexico a future for the world's children? a who-unicef-lancet commission key: cord-289041-lhc53uk4 authors: nadeem, muhammad faisal; samanta, soumya; mustafa, fatima title: is the paradigm of community pharmacy practice expected to shift due to covid-19? date: 2020-05-27 journal: res social adm pharm doi: 10.1016/j.sapharm.2020.05.021 sha: doc_id: 289041 cord_uid: lhc53uk4 nan humanity has always been challenged by the agony associated with pandemics. from bubonic plague (1347-1351) to the spanish flu (1918) (1919) , the world has suffered a great deal in terms of humanistic and monetary loss [1] . likewise, covid-19 has ravaged the whole world and posed new challenges for the healthcare systems of both developed and developing nations [2] . in particular, due to a number of lapses in healthcare systems, developing nations have had difficulty adopting the recommended response strategy − including early detection, prompt isolation and initiation of effective infection prevention and control (ipc) measures; delivery of symptomatic care for those with mild illness; and optimized supportive care for those with severe, and public health quarantine − to flatten the contagion curve. amidst the abysmally high upsurge of covid-19 cases worldwide when local, state, and national government and healthcare agencies are searching for strategies to wage the war against pandemic, community pharmacy practice has been gaining momentum and undergoing major paradigm shifts [3] . recognizing the need for fully fledged community pharmacy services, regulatory authorities in many developed countries, such as china, the united kingdom (uk), the united states (us), australia. and canada have waived multiple legislations and published additional guidance for community pharmacies [4] [5] [6] [7] [8] . this discussion aims to give overview of the emerging services and flexibilities in pharmaceutical regulations that could shift the paradigm of community pharmacy practice and help community pharmacists move from the bleeding edge to the cutting edge ( figure 1 ). moreover, this letter is expected to pique the attention of pharmaceutical regulatory bodies in developing nations towards the potential of community pharmacy services to knock down challenges concerning covid-19 havoc. pharmacists should be authorized "to order, collect specimens, conduct and interpret tests and, when appropriate, initiate treatment for infectious diseases including covid-19" [9] . realizing the need to expand the availability of rapid testing and reduce unnecessary travel to remote testing sites, the u.s. department of health & human services (hhs) has permitted pharmacists to conduct covid-19 tests [8] . in conjunction, they are authorized to perform antibody testing which will assist to conclude whether a patient has already healed from the infection, and have immunity to continue [8] . given the recent test authorization, the fda is expected to approve the forthcoming covid-19 vaccine to be administered by pharmacist as the benefits of authorizing community pharmacists to assist with vaccination and immunization have been established since the previous influenza pandemic in 2013 [9] . authorizing such roles (i.e., test-treat-immunize) will unleash the full potential of community pharmacists and thus appears more likely to accelerate the paradigm shift from dispensing and indirect clinical focus to more direct clinical and patient centered healthcare relationships with patients/customers as well as other healthcare professionals. other major paradigm shift in community pharmacy services would be attributable to telepharmacy and home delivery of services. the idea of pharmacists being able to render essential public health contributions via telepharmacy and home delivery is built on irrefutable logic. when hospitals are buckled beneath the weight of covid-19 cases and the world is striving to adhere to the self-isolation and social-distancing rules, telepharmacy and home delivery of medicines are of great significance not only for covid-19 confirmed or suspected patient, but also for the patients with communicable and non-communicable diseases, and most vulnerable members of the community (i.e, elderly, pregnant women and children). the benefits of these services are represented by a wide range of the pharmaceutical service, including drug review and monitoring, sterile and non-sterile compounding verification, medication therapy management (mtm), patient assessment, clinical consultation, outcomes assessment, decision support, and drug information from medication selection [10, 11] . in the past, these services has been utilized by communities throughout the us, spain, denmark, egypt, france, canada, italy, scotland, and germany to improve access to pharmacy services, especially in underserved populations [12] . likewise, many countries, such as australia, the united states, and the united kingdom have now adopted these services in response to covid-19 pandemic. however, despite dire need of telepharmacy and home delivery of medicines in covid-19 prevalent developing nations, many factors, such as community pharmacist willingness, limited workforce, lack of expertise, financial reimbursement, infrastructure of community pharmacies may be to blame for low uptake of these services. regardless of all the barricades, the shift in the community pharmacy paradigm -in terms of identity and recognition as a competent and trustworthy healthcare professionals -is expected to happen through telepharmacy and home delivery of services and medicines due to increased chances for direct interaction with patients in need of these services, only if community pharmacists aim to avail the opportunities rather than moaning about existing issues. they ought to embrace the notion "more the interaction you make, more opportunity you have to make positive impact on others (patients)" in light of covid-19 driven medication disruptions and limited access to essential medicines, a number of flexibilities in pharmaceutical regulations have been observed in many nations, which are anticipated to foster the role of community pharmacists [4] [5] [6] [7] [8] . pharmacists have been authorized to conduct therapeutic interchange and substitution without physician authorization when product shortages arise to ensure continuity of therapy during shortage of the prescribed medicine. in some countries or territories, pharmacists have been authorized to repeat dispensing of prescribed medicines for patients with long-term conditions in-order to improve patient adherence to medicine therapy and minimize the need for medical appointments. in the same manner, the fda has temporary authorized compounding pharmacies to compound fdaapproved drugs to address the shortage of certain crucial drugs (i.e., sedatives, anesthetics, painkillers, and muscle relaxants etc) used in the treatment of covid-19 [8] . furthermore, considering the needs of patients requiring controlled drugs, -including opioid medicines for palliative care, severe pain management, or taking regular opioid substitution therapy -, pharmacists are temporarily permitted to extend prescriptions, pass prescriptions to other pharmacists, and allow pharmacy employees to deliver prescriptions of controlled substances to patients' homes. though these flexibilities in legislations are temporary due to a number of medication safety concerns and irrational practices, at least pharmacists now have the opportunity to take complete accountability for a patient's medication. pharmacy related organization in other nations must urge these legislations to support patients and prescribers during the covid-19 response, and enable satisfactory integration of the prescription and supply of medicines. however in developing nations, ensuring the availability of trained pharmacist at community settings and required equipments will be critical components of any initiative to leeway the pharmaceutical legislations. to sum up, the health governments across the globe are loosening pharmaceutical legislations and expanding community pharmacy services in response to covid-19 havoc with the clear objective of improving access to requisite healthcare services and medicines. however this may not be easy to follow for developing nations, as community pharmacy services in these settings are thwarted by societal, technical and economic barriers. but, as we see it, healthcare regulators in developing nations, where ensuring access to healthcare services and essential medicines has always been a great challenge, will need to utilize and promote community pharmacy services to cater the needs of vulnerable population during the covid-19 pandemic. in doing so, community pharmacists across the globe will assume new responsibilities, assist patients attain healthy outcomes and provide value previously unrecognized by the healthcare professionals, population and healthcare system. nevertheless, in this regard, national pharmacy organizations need to play a key role with clearer and more direct approaches to articulate their suggestions in-order to shift community pharmacy practice from the bleeding edge to the cutting edge. they should ferret out additional indicators of paradigm shifts and request to be included at the table when previous rules are revised or new healthcare policies are being devised. new development:'healing at a distance'-telemedicine and covid-19 how will country-based mitigation measures influence the course of the covid-19 epidemic? the lancet on the frontline against covid-19: community pharmacists' contribution during a public health crisis recommendations and guidance for providing pharmaceutical care services during covid-19 pandemic: a china perspective summary of covid-19 regulatory changes from regulatory flexibility to reimbursement changes, how canadian regulators and payers are managing the covid-19 crisis update on new legislation relating to controlled drugs during the covid-19 pandemic pharmacy developments related to covid-19 testing and compounding of critical drugs executive summary: pharmacists as front-line responders for covid-19 patient care 2020 a systematic review of icu and non-icu clinical pharmacy services using telepharmacy telepharmacy services: present status and future perspectives: a review we declare no competing interests. key: cord-027798-aq13cugo authors: kenny, sue title: covid-19 and community development date: 2020-06-01 journal: community dev j doi: 10.1093/cdj/bsaa020 sha: doc_id: 27798 cord_uid: aq13cugo nan joining balcony singing groups, have all helped to maintain social connections, and in so doing, boost community solidarity. after four decades which have been dominated by the neo-liberal values of competition and individual self-reliance, the validation of community co-operation and collaboration is to be welcomed. we cannot ignore the immense suffering that has resulted from covid-19, which is experienced unequally within and between societies. for example, contagion spreads more effectively in overcrowded poor areas, and these are often the areas with the most limited health facilities. in this context not-for-profit community organisations have stepped in as central players in welfare delivery. while welfare provision has always been the remit of many community organisations, their pivotal role is increasingly recognised, as state welfare programs and the privatised for-profit welfare delivery system are unable to keep up with demand. community organisations are now responding to the needs of those who are newly unemployed, sick and homeless and the increasing need for intervention in situations of family violence. in the context of the immense demand, there is growing pressure for community development practitioners to focus entirely on welfare work, as agents of the "benign" state. if we nudge our attention away from the normatively driven conception of community, other ways in which communities are stepping in to protect against covid-19 raise some serious concerns. first, fear and panic have resulted in the closure of ranks amongst "insiders" and the othering of those who are deemed to pose a threat in so far as they might be carrying the virus. fear of the stranger is now back in force as refugees, people who are homeless and those coming from outside a neighbourhood or town are made to feel unwelcome. second, once governments introduce policies such as social distancing and social isolation to stem the spread of the covid-19 pandemic, they are faced with the task of ensuring that citizens are compliant. there are several ways in which they do this. they harness the powers of the police. they use existing tracing mechanisms such as apps, or what bartos (2020) calls "the panoptican in your pocket". but possibly the most effective way of checking on citizens' conformity is when fearful communities monitor themselves to ensure compliance with the new laws and regulations. by reporting transgressions, communities become part of the repressive state. in this context the solidarity of community is contingent upon obedience to the state. as individuals take on the role of self-righteous monitoring, communities become the agents of self-surveillance. these last activities are problematic elements of the community response to covid-19. yet there is another issue facing community development practitioners as they grapple with the effects of the pandemic. this is the largely apolitical nature of the response. providing welfare and supporting initiatives to sustain social connectedness should not mean withdrawing from our political and politicising activities. indeed, it might well be that as the economic system driven by neo-liberal theory withers and the importance of collective endeavour is recognised, we have the best opportunity in a long while to be able to reshape thinking, structures and practices. however the opportunities to demand a more collaborative, democratic and just society are being threatened by a political form that is already casting a shadow over the responses to covid-19. this political form is authoritarianism. a society in which fear is amplified, power is ceded to governments and communities practise self-surveillance provides an ideal setting for authoritarian practices. even before covid-19, many parts of the world had been in the grip of, or on the edge of authoritarianism. take for example, the countries that have been dominated by populist politics. a central feature of populist politics is the view that it is the prerogative of populist leaders, operating on behalf of the people (or as hugo chavez famously remarked, operating "as the people") to identify and respond to dangers. as people look for reassurances from politicians and more decision-making is handed over to political leaders, as is happening during the covid-19 pandemic, a precedent is established, which gives leaders extra leeway to take control and to present themselves as saviours. once populist leaders gain uncontested power, they can weaken or dismantle the institutions of democracy such as the judiciary and a free press, and strengthen methods of surveillance. in addition, the fear of outsiders bringing in the virus has meant the closure of borders, while also firing up nationalism and nurturing xenophobia, all of which are effective devices in the hands of authoritarian populists. nevertheless, there is a growing chorus of voices warning us of the ways in which authoritarianism is seeping into the fabric of society, particularly when this takes place under the guise of controlling the covid-19 pandemic. for example, we are being alerted to the ways in which authoritarian populists such as orban in hungary and bolsonaro in brazil have used the pandemic as a cover to extend their powers, by eliminating dissent and extending state surveillance. as the quasi-populist uk government responds to the pandemic, transparency is diminishing, as demonstrated by government redaction of important advice from health scientists (lewis and conn 2020) . what is also being reported is that the extension of the powers of populist leaders does not seem to have increased their popularity, and despite their claims to be able to "uniquely speak for the people" and "resolve their issues", right-wing populist governments have been unable to curtail the spread of covid-19, particularly in italy, the usa and brazil. but whether this affects a longer term trajectory towards populist authoritarianism remains to be seen. at the beginning of may, 2020, what can those committed to community development be doing in response to the covid-19 pandemic and the changing socio-political milieu? should we be waiting for a clearer picture of how politics and economics are playing out or should we be responding to the situation as we find it, and if so how? do we put our energies into organising at the local, national or global level? while constant monitoring of socio-political shifts and the progress of various responses to the virus, it would seem to me that there are five political actions that we can take now. these are first, to join the chorus of those alerting the world to the threats and dangers of authoritarianism. authoritarian regimes straight-jacket civil society, and thus community development as well. there is a caveat here however. warning about authoritarianism does not mean validating the views of radical libertarians who reject all state interventions. second, we can work with our networks to expose the ways in which the catastrophic loss of livelihoods, spread unevenly within and between societies, is not just the outcome of the covid-19 pandemic, but results from how societies are organised-around exploitation, inequality and pervasive neo-liberal ideology. third, linking with our networks, we can agitate to ensure that knowledge, expertise and resources concerning covid-19 are shared across the world, rather than being used as devices for gaining power and money. fourth, the corollary of the massive failures of contemporary societies is that we need to be mobilising for a radical reconfiguration of society. there is no "return to normal". of course, like the suggestions above, those committed to community development cannot do this alone. it requires determined political activism, globally, nationally and locally. finally though, an advantage of being involved in community development is that we can point to the thousands of small scale initiatives that pre-figure very different ways of organising society. from these sources we could develop a kit-bag of exemplars that demonstrate the value of how to organise using such principles as social and ecological justice, collaboration and deliberative democracy. these actions are all the more urgent because what happens in response to the 2020 covid-19 pandemic is a rehearsal for the even bigger challenge for a humanity losing its way, climate change. panopticon in your pocket covid-19 and community development 5 uk scientists condemn 'stalinist' attempt to censor covid-19 advice, the guardian key: cord-354987-e2d5w6w3 authors: aguado, brian a.; porras, ana m. title: building a virtual community to support and celebrate the success of latinx scientists date: 2020-10-20 journal: nat rev mater doi: 10.1038/s41578-020-00259-8 sha: doc_id: 354987 cord_uid: e2d5w6w3 in february 2019, we co-founded latinxinbme to build a diverse and welcoming virtual community of latinx researchers in biomedical engineering (bme). we leverage digital tools and community mentoring approaches to support our members and to build safe spaces in academia, with the aim to diversify the academic workforce in stem. future pi slack. slack has the advantage to create channels centred around specific topics, centralize information relevant to the community, initiate private messages between members and engage latinx bmes across time zones and locations. the most active channels in our slack community fit into a few categories: careers (for example, #industry-jobs, #academic-jobs), mentoring (for example, #undergrad-to-grad), mental health (for example, #highsandlows) and issues that impact latinx communities (for example, #immigration-woes). the channel conversations ensure that members receive the mentorship they need to be successful in their next career steps. since our founding, we have recruited 175 members on slack (fig. 1b) . latinxinbme members include 12 different latin american nationalities and a variety of bme sub-disciplines, including biomechanics, biomaterials, tissue engineering, regenerative medicine, imaging, neural engineering, drug delivery and microfluidics. our recruitment strategy first relied on reaching out to our immediate latinx friends and colleagues. to maintain growth, we consistently promote our group at conferences and seminars, rely on non-latinx allies to spread the word, and reach out to prospective members. new members first enter our slack space through the #introductions channel, where they are welcomed by the community and where they can begin to interact with others with similar interests. out of 57 surveyed members, 9% are undergraduate students, 56% are graduate students, 17% are postdoctoral fellows, 11% are assistant professors, 5% are associate or full professors with tenure and 2% are members with industry careers (fig. 1c) . twitter. our community is active on twitter (@latinxinbme), where we highlight our members and their professional successes, advertise job openings, internship opportunities and professional development workshops, and share resources to support diversity, equity and inclusion. for example, we leverage national events, such as the hispanic/latinx heritage month building a virtual community to support and celebrate the success of latinx scientists in february 2019, we co-founded latinxinbme to build a diverse and welcoming virtual community of latinx researchers in biomedical engineering (bme). we leverage digital tools and community mentoring approaches to support our members and to build safe spaces in academia, with the aim to diversify the academic workforce in stem. www.nature.com/natrevmats (annually from september 15 to october 15), to highlight our current members and encourage new members to join. additionally, twitter allows us to interact with other organisations and leaders dedicated to expanding diversity in stem. for example, to promote multilingual science communication 6 , latinxinbme colla borates with the tissue engineering and regenerative medicine international society (termis), student and young investigator section (syis) to post weekly tweets that list english-to-spanish translations of vocabulary related to types of biomaterials, cell culture, materials chemistry and characterisation techniques. community-building and mentoring virtual events. the latinxinbme community is spread out across the world (albeit most members are in the usa) and thus, we rely on technology to keep the community connected. we host professional development events, including virtual writing groups, one-on-one meetings and q&a sessions discussing interviews for graduate school as well as regular social mixers. in-person events. the latinxinbme community hosts in-person networking events to complement our virtual programmes and to provide an opportunity to get to know each other as friends and colleagues through informal activities, such as dinners. these events often spontaneously turn into mentoring, brainstorming or listening sessions. latinxinbme members have organized networking events at the society for biomaterials (sfb) annual meeting, the biomedical engineering society (bmes) annual meeting, the gordon research conferences, the cell and molecular bioengineering conference, the american association for the advancement of science annual meeting, and the society for advancement of chicanos/hispanics and native americans in science diversity in stem conference. addressing latinx-specific issues. the slack platform provides spaces for reflection to analyse and discuss academic and societal issues specific to our latinx community through the lenses of our cultures, intersecting identities and lived experiences. for example, constant changes in us immigration policies negatively impact our members and have spurred virtual conversations in which to vent about the situation and develop action items, including contacting local representatives. after the murders of george floyd, breonna taylor, elijah mcclain and countless other black citizens at the hands of law enforcement, we discussed the #blacklivesmatter movement and how to support anti-racism practices, and how to best engage our latinx family, friends and colleagues in this cause. advocacy efforts. part of our mission is to advocate for the inclusion, support and well-being of all latinxinbme scholars at local and national levels. our members have participated in various efforts to advocate for diversity and inclusion in their departments and they engage with their local latinx communities. on a national level, we -the latinxinbme co-foundersserved on the sfb diversity task force to help establish the new society for biomaterials diversity, equity and inclusion committee. we are also hosting a virtual panel session at the bmes 2020 annual meeting with support from the biomedical engineering society diversity committee to highlight research conducted by latinx in bme and to provide a space for attendees to learn about experiences of marginalized early-career biomedical engineers. build your own community. the goals and strategies of latinxinbme transcend fields and disciplines. although our focus is to support the bme latinx community, we believe this framework can be used to create spaces for other communities that are historically excluded and underrepresented in stem. similar virtual communities, such as @latinxchem, @geolatinas and @blackinengineering, have also been successful at builing virtual spaces for marginalized groups in stem and in providing remote mentorship opportunities to trainees. allyship. we encourage our non-latinx colleagues to engage with us, learn from our experiences and understand the systemic barriers that drive the underrepresentation of latinx in bme. allies must recognize the pool of talent present within our community, recruit students, postdocs, staff and faculty, and create and fund programmes that foster the representation, growth and success of latinx and other marginalized groups in stem. faculty in influential positions must take an active role in diversifying undergraduate and graduate admissions (for example, by eliminating the use of standardi zed tests such as the graduate record examination 7 , by providing application fee waivers and by building meaningful relationships with hispanic-serving institutions, historically black colleges and universities, and tribal colleges and universities). faculty and deans must also commit to bold efforts when hiring faculty (for example, cluster hiring for tenure-track professors, expanding recruitment pools and reassessing of hiring criteria). however, recruiting alone will not fix the deep inequities that permeate stem and higher education. ensuring equal opportunity is crucial at the individual level (for example, inviting underrepresented colleagues to give talks, collaborating on grants and co-authoring manuscripts) and on an institutional level (for example, redefining graduation, hiring and promotion criteria to recognize diversity, equity and inclusion efforts, which are often ignored in performance evaluations). colleagues must also create welcoming and safe work environments and help stop racist behaviours that infect the stem community and leave the latinx community powerless. stop assuming that the latinx scientist down the hall is the janitor. stop joking that latinx scientists are good at making cocaine in the lab. stop mentioning that accents are distracting in presentations. stop thinking that latinx immigrants are stealing jobs. stop saying that we were awarded a fellowship because we are latinx. outcomes. although our organization is young, we are already seeing positive effects. we have mentored undergraduate students through two academic admissions cycles. several of our graduate student members have asked for feedback on fellowship applications and have been awarded national science foundation graduate research fellowships and other awards. in the faculty recruitment cycle for 2019/2020, three of our postdoctoral latinxinbme members, mentored by other members of the community, secured faculty positions, indicating that our efforts may help future postdoctoral fellows pursue an academic career. faculty have been able to share resources and invite each other to their department seminar series. our virtual community has also provided much needed support during the covid-19 pandemic. closing thoughts latinxinbme has filled a void in our field by connecting latinx biomedical engineers, countering feelings of institutional isolation and exclusion, and fostering inclusion in the broader scientific community. as showcased by our preliminary outcomes, our approaches could help increase the representation and success of latinx scho lars in academia. however, we will not achieve this goal without commitment and actions at higher levels of academic leadership. we will continue to counteract latinx stereotypes and increase awareness of the talent within our community. we are optimistic that our efforts may one day lead to a stem workforce that reflects the rich diversity of our global neighbourhoods and ensures that everyone who wants to practice science feels welcomed, included and valued. engineering by the numbers latino engineering faculty in the united states latino stem scholars, barriers, and mental health: a review of the literature national academies of sciences, e. & medicine. the science of effective mentorship in stemm science communication in multiple languages is critical to its effectiveness questioning the value of the graduate record examinations (gre) in phd admissions in biomedical engineering inclusion-committee tissue engineering and regenerative medicine society we abundantly thank all our latinxinbme members and allies, as this work would not be possible without your enthusiasm and engagement. b.a.a. acknowledges funding from the nih (k99 hl148542) and the burroughs wellcome fund postdoctoral enrichment program. a.m.p acknowledges funding from the cornell presidential fellows program. there is no competing interest. key: cord-271876-kln3t3ru authors: bloomfield, sally f.; cookson, barry; falkiner, fred; griffith, chris; cleary, vivien title: methicillin-resistant staphylococcus aureus, clostridium difficile, and extended-spectrum β-lactamase–producing escherichia coli in the community: assessing the problem and controlling the spread date: 2007-03-31 journal: american journal of infection control doi: 10.1016/j.ajic.2006.10.003 sha: doc_id: 271876 cord_uid: kln3t3ru although health care-associated methicillin resistant staphylococcus aureus and clostridium difficile strains are primarily a risk to hospital patients, people are increasingly concerned about their potential to circulate in the community and the home. they are thus looking for support in order to understand the extent of the risk, and guidance on how to deal with situations where preventing infection from these species becomes their responsibility. a further concern are the community-acquired mrsa and c. difficile strains, and other antibiotic resistant strains circulating in the community such as the extended-spectrum β-lactamase (esbl) escherichia coli. in response to concerns about such organisms in the community, the international scientific forum on home hygiene has produced a report evaluating mrsa, c. difficile, and esbl-producing e. coli from a community viewpoint. the report summarizes what is known about their prevalence in the community, their mode of transmission in the home, and the extent to which they represent a risk. it also includes “advice sheets” giving practical guidance on what to do when there is a risk of infection transmission in the home. methicillin-resistant staphylococcus aureus, clostridium difficile, and extended-spectrum b-lactamaseproducing escherichia coli in the community: assessing the problem and controlling the spread although health care-associated methicillin resistant staphylococcus aureus and clostridium difficile strains are primarily a risk to hospital patients, people are increasingly concerned about their potential to circulate in the community and the home. they are thus looking for support in order to understand the extent of the risk, and guidance on how to deal with situations where preventing infection from these species becomes their responsibility. a further concern are the community-acquired mrsa and c. difficile strains, and other antibiotic resistant strains circulating in the community such as the extended-spectrum b-lactamase (esbl) escherichia coli. in response to concerns about such organisms in the community, the international scientific forum on home hygiene has produced a report evaluating mrsa, c. difficile, and esbl-producing e. coli from a community viewpoint. the report summarizes what is known about their prevalence in the community, their mode of transmission in the home, and the extent to which they represent a risk. for bacterial strains, such as methicillin-resistant staphylococcus aureus (mrsa), clostridium difficile, and extended-spectrum b-lactamase (esbl)-producing escherichia coli, the use of antibiotics is a common factor that is related to their emergence and spread. although health care-associated mrsa (hca-mrsa) and c difficile strains are primarily a risk to vulnerable patients in hospitals, people are increasingly aware and concerned about the potential for these organisms to circulate between the hospital and other settings, including the home. thus, they are looking for support to understand the extent of the risk to themselves and their family, and guidance on how to deal with situations where preventing infection from these species may become their responsibility (eg, caring for someone at home who is infected or has increased vulnerability to infection, or visiting someone in the hospital who may be at risk from visitors who are colonized or infected). a further, and possibly greater, concern are the ''newer'' community-acquired mrsa (ca-mrsa) and c difficile strains that are now known to have emerged de novo in the community from community-based strains. in contrast with hca-mrsa, ca-mrsa strains are more virulent, and cause infections of cuts, wounds, and abrasions, which are more prevalent among children and young adults. one of the main reasons for concern is that these strains have acquired the ability to produce panton-valentine leukocidin (pvl) toxin, which can lead to serious and potentially fatal skin and soft tissue (sometimes necrotizing) infections. although the data are difficult to interpret, because they are mostly generated by reference laboratories, it is thought that a significant portion of pvl-producing strains circulating in the general community are also methicillin resistant. 1, 2 indications are that these pvl-producing ca-mrsa strains are easily transmissible not only within families, but also on a larger scale in community settings (eg, prisons, schools, sport teams) and among intravenous drug addicts; skin-to-skin contact (including unabraded skin) and indirect contact with contaminated shared objects (e.g., towels, sheets, sports equipment) seem to represent the main mode of transmission. this is particularly likely where there are shared contaminated items, poor hygiene, and crowded living conditions. a further concern is that these strains are now showing the propensity to not only spread rapidly in the community, but also into hospitals, thereby compromising efforts to control mrsa in these settings. 2, 3 for c difficile, concerns in the community relate to the emergence of a more virulent type (type nap1/ 027) that seems to have the ability to produce greater quantities of toxins, and, unlike many previous c difficile strains, is resistant to floroquinolone antibiotics. in the united states in 2005, several cases of c difficile-associated disease were reported in patients in whom there was minimal or no exposure to health care settings and no recent antibiotic use (ie, they were community acquired). 4 in response to concerns about such organisms in the community, the international scientific forum on home hygiene (ifh) produced a report that evaluated mrsa, c difficile, and esbl-producing e coli from a community viewpoint. 5 the report summarizes what is known about these organisms, their prevalence in the community, their likely mode of transmission in the home, and the extent to which they represent a risk. its purpose is to provide a source of information for health professionals, scientific writers, and others who communicate directly with the public on infectious disease and home hygiene. the appendices include ''advice sheets'' that give practical guidance on what to do when there is a risk for infection transmission in the home. in accordance with ifh policy, the evidence base for the practical information is reviewed. the report suggests that, for all 3 species, although home-dwellers who are infected or colonized with these organisms are reported frequently in the literature, the overall prevalence of infected individuals or colonized carriers in the community, at least in the uk, is still low. it is recognized, however, that geographical variations occur; this prevalence may be increasing in parts of the united states. 6 the evidence suggests that when these strains are introduced into the home by an infected individual or a carrier or via domestic animals, there is significant potential for spread by direct or indirect contact (eg, via the hands; hand, body, or food contact surfaces; cleaning cloths), such that other family members are exposed and may become colonized or infected. the prevalence and potential for spread of mrsa in the home environment is shown by a recent study at the center for hygiene and health at simmons college in boston, ma (elizabeth scott, bsc, phd, personal communication, 2006) . the ca-mrsa was isolated from 7 of 35 homes (20%) that were sampled in the boston area; it was found on a variety of household surfaces, including hand contact surfaces and cleaning utensils. the major concern in public health terms is that, as the proportion of people in the general population who carry these strains as part of their normal flora increases, there is an increasing probability that clinical infections, either in the community or in the hospital, may be attributable to one of these strains. although the ifh report highlights significant differences between these 3 strains, it also suggests common patterns. from this it is possible to formulate a strategy that could reduce the impact of these and other emergent strains. the key components of such a strategy include better monitoring of antibiotic utilization together with promotion of appropriate hygiene to prevent spread from infected or colonized family members, protect vulnerable groups from exposure, and reduce transmission among healthy family members. in situations where someone is known to be infected with or carrying a specific pathogen, or where family members need to be protected against a specific pathogen (eg, ca-mrsa), hygiene advice to the family can be based on assessment of the critical control points for preventing spread of the particular organism. in contrast, reducing the circulation of these organisms in the healthy community by reducing opportunities for spread of colonization among family members and domestic animals depends on persuading people to practice good hygiene on a routine basis. good day-to-day hygiene means adopting the ifh risk assessment or ''targeted'' approach to home hygiene as outlined in the ifh guidelines and recommendations on home hygiene, or in the ifh home hygiene training resource. [7] [8] [9] in situations where someone is more vulnerable to infection, for the most part this still means targeted hygiene. the major difference is that, if hygiene practices are not applied consistently and rigorously, the risk for infection is much greater. in reality, the problems that are posed by ''emergent pathogens'' are only one of the reasons why we need to persuade the public to share the responsibility for infection control and adopt better standards of day-to-day hygiene. other factors include the continuing high levels of infectious intestinal disease; the increasing elderly population and shorter hospital stays, which mean greater numbers of vulnerable people in the community; and the emergence of diseases, such as severe acute respiratory syndrome (sars) and avian flu. to achieve this, however, we need to abandon our fragmented approach to hygiene promotionwhereby food hygiene advice is given separately from advice on hand hygiene, care of the sick, or preventing the spread of flu or mrsa-and look at hygiene holistically from the point of view of the family and the range of problems that they face in protecting themselves from infection. the fact that advice on these aspects of hygiene is given separately means that the community does not have a comprehensive understanding about how infectious diseases are spread in the home; thus, hygiene practice largely is rule based. this makes it difficult for hygiene knowledge to be adapted to different risks (eg, those posed by pathogens with dissimilar properties and routes of transmission), or to the varying needs of different family members with various levels of vulnerability to infection. the threat that is posed by diseases such as avian influenza and sars demands an immediate response, which requires adequate and advance preparation. to achieve all this, greater emphasis on appropriate hygiene education in schools is needed. additionally, the public must be given clear, unambiguous information on the nature of the threat posed by infectious disease agents together with advice on how to target hygiene measures to minimize the risks of exposure to potentially harmful microbes. methicillin-resistant s. aureus infections among patients in the emergency department community-acquired mrsa: can we control it? the emergence of infections with community-associated methicillin resistant staphylococcus aureus severe clostridium difficile-associated disease in populations previously at low risk-four states clostridium difficile and esbl-producing escherichia coli in the home and communityassessing the problem, controlling the spread emergence of community-acquired methicillin-resistant staphylococcus aureus as the predominant cause of skin and soft tissue infections guidelines for prevention of infection and cross infection in the domestic environment recommendations for selection of suitable hygiene procedures for use in the domestic environment home hygiene-prevention of infection at home: a training resource for carers and their trainers key: cord-031995-itu5ix98 authors: goglio-primard, karine; simon, laurent; cohendet, patrick; aharonson, barak s.; wenger-trayner, etienne title: managing with communities for innovation, agility, and resilience date: 2020-09-17 journal: nan doi: 10.1016/j.emj.2020.08.003 sha: doc_id: 31995 cord_uid: itu5ix98 nan the covid-19 pandemic is a health and social crisis devastating populations and disrupting our society, economy, and organizations. in response, companies such as dassault aviation proposed leveraging collective intelligence to source, qualify, and design engineering and manufacturing solutions. an open covid-19 community emerged to consolidate a worldwide list of projects and connect them to people looking for solutions or willing to help. unprecedented collaborative impulses and communitarian gatherings developed in all areas: help for caregivers (carers), support for families, a consortium of companies to respond to the shortage of resuscitation equipment, etc. in these troubled times, the spontaneous responses from communities are multiple and impactful, supporting creative endeavors and fostering innovations for resilience. the concept of knowing communities (kcs) refers to the vast body of creative informal networks that repeatedly interact and exchange knowledge to support the dynamic processes of creation and innovation (amin & roberts, 2008; cohendet et al., 2008) . these informal groups are made up of individuals willing to produce and mutualize new knowledge by connecting people belonging to different entities (david & foray, 2002) . their properties emphasize their social dimension: the voluntary commitment to exchange and share common cognitive resources; a common identity built on their practice and repeated exchange; and the respect of specific social norms (cohendet et al., 2008; wenger, 1998) . knowing communities leverage value creation and performance within firms (brown & duguid, 1991 , 2001 lave & wenger, 1991; wenger et al., 2002 wenger et al., , 2011 wenger-trayner, fenton-o'creevy, hutchinson, & kubiak, 2015) and favor innovation. their role appears even more essential in times of crisis as they provide rapid answers to complex issues and foster collective resilience. the solutions lie in the attitudes of individuals and collectives and cannot be found only in controlled, predictive, streamlined, and optimized systems. the formation of a broad community of peers and experts from different disciplines frees the collective intelligence and social imagination. within this vast body of knowing communities, the notion of collective has been recently introduced and studied in the practice-based theory of knowledge. in 2009, laurent simon's (2009) study of creative cities identified a new and "unrecognized actor" referred to as "creative collective." for simon, this particular form of groups is neither a network (even though it is connected to networks), nor a pure form of community (even though it shares some of its characteristics). this hybrid form comes across as a "truly communitarian form of a community" (p. 41) whose members gather to defend a common vision presented as a creative alternative. rather than gathering for the main purpose of producing or accumulating knowledge, they mostly gather around shared values and for the defense of social progress. while these groups claim a specific identity (cohendet, 2006) , they also need knowledge and competences to serve their project (paraponaris & rohr, 2015) . collectives are defined as informal networks made up of heterogeneous actors promoting a common societal cause (crespin-mazet et al., 2017) and can be seen as precursors of epistemic communities. while communities emphasize the acquisition of expertise or free access to expertise located in other organizations (scientific goal), collectives emphasize altruism, public action, the adoption of innovative practices by the largest number, and the highest level of sharing among members in order to transform society. in sum, members of communities cooperate to increase their skills and practice while members of collectives collaborate because they share specific values reflecting the dynamics of civil society (paraponaris & rohr, 2015) . the complementary roles of communities and collectives in times of crisis seem essential for strengthening collective resilience. on the one hand, collectives are built on societal projects, aiming for new proposals and change (paraponaris et al., 2013) . they are geared towards the future and defend "a society opened to new values, broader interests and open access to knowledge" (p. 10). they are naturally opened to other social groups with whom they can confront information and knowledge in an effort towards enrichment. on the other hand, communities aim to defend their members' competences and expertise in order to support their regime of competence: their actions directly benefit their members and not the society as a whole. hence, community members can be characterized by solidarity while members of a collective are characterized by complementarity. in sum, communities naturally raise borders to external knowledge while collectives naturally aim at crossing them. our intention in this management focus is to analyze the dynamics of knowledge communities (communities of practice and collectives) with respect to innovation, agility, and the resilience of organizations. innovation will increasingly draw its main source from communities and collectives. these informal communities act as various active units, with potentially different roles, at different stages of the innovation process. given the source of creativity provided by these new organizational forms, companies should establish a strong yet respectful relationship with them in order to harvest their creative outputs and nurture the organization's formal innovative processes (sarazin et al., 2017) , especially in times of crisis. european management journal 1 how can knowledge communities' dynamics (i.e., communities of practice and collectives) foster organizational resilience? 2 how to create and animate a community, with experts, customers, and users, to develop innovation, agility, and resilience in times of crisis. 3 what are the specific characteristics of the notion of collectives? 4 how to mix these new organizational forms (i.e., communities of practice, collectives, and epistemic communities) to innovate and resist the crisis. 5 how can collectives promote a common societal cause outside the organization and obtain the adhesion and legitimacy of the greatest number? 6 how the spontaneous responses of communities and collectives can support innovations, e.g., resilience in formal hierarchical structure. 7 how can organizations support communities and collectives? 8 what are the management mechanisms (organizational levers) that support the development of innovative practices within knowing communities? 9 how to develop the interactions between formal structures (the hierarchical structures of companies) and knowing communities (i.e., communities of practice, collectives, etc.) 10 how can the productions of knowing communities be exploited, disseminated, and institutionalized through a formal structure? the kco (knowledge communities observatory) have organized a symposium for june 9e10, 2021, in the kedge business school, toulon, france, and the proposed management focus will be one of the academic outputs. this call is open to all scholars to ensure that those not involved in the kco symposium can also submit papers. full papers for consideration by the guest editors should be submitted to karine.goglio@kedgebs.com by september 25, 2021. every paper submitted to this management focus section of the european management journal (emj) must provide a clear scientific and practical contribution. conceptual or review and empirical papers will be considered. all submissions will be subject to emj's usual double-blind peer-review process and should respect the journal's guidelines. publication of the selected articles in emj's management focus section is planned for 2022. you may direct any questions to the guest editor: karine.goglio@kedgebs.com. emj is a flagship scholarly journal, publishing internationally leading research across all areas of management. emj articles challenge the status quo through critically informed empirical and theoretical investigations, and present the latest thinking and innovative research on major management topics, while still being accessible and interesting to non-specialists. emj articles are characterized by their intellectual curiosity and diverse methodological approaches, which lead to contributions that impact profoundly on management theory and practice. we welcome interdisciplinary research that synthesizes distinct research traditions to shed new light on contemporary challenges in the broad domain of european business and management. dr karine goglio-primard is an associate professor of b to b marketing at kedge business school, toulon, france. her research focuses on communities of practice that emerge in organizations and are cultivated to nurture innovation and business development. she founded the knowledge communities observatory (kco) at kedge business school, which brings together companies (crouzet, engie, expleo, laerdal medical, schneider electric, sartorius stedim, spie batignolles, etc.) and expert researchers on communities. within the kco, she analyzes how the formal structures of companies integrate the production of communities into their innovation process. her research has been published in journals such as management international, journal of business research, and management decision. dr laurent simon is a professor in the department of entrepreneurship and innovation at hec montr eal. he is also co-director of the mosaic, creativity & innovation hub, hec montr eal. he teaches courses on the management of innovation and creativity, design thinking, and business models. his research focuses on the organization, management, and performance of creative and innovative processes at the individual, collective, organizational, and territorial levels. in 2017, he co-edited the elgar companion to innovation and knowledge creation. his research has been published in journals such as organization science, journal of economic geography, industry and innovation, and management international. dr patrick cohendet is a professor in the department of international business at hec montr eal. he is also co-director of the mosaic, creativity and innovation hub, hec montr eal and co-editor of management international. his teaching, research, and publications focus on the economics and management of innovation, knowledge, and creativity. he is the author of more than 80 articles published in peer-reviewed journals and 15 books, including architectures of knowledge co-authored with ash amin. in 2017, he co-edited the elgar companion to innovation and knowledge creation. his research has been published in journals such as research policy, organization science, and industrial and corporate change. dr barak s. aharonson is a professor of strategic management and entrepreneurship at xiamen school of management, xiamen university, china, and a member of the faculty of management at coller school of business, tel aviv university, israel. he is an associate editor for the entrepreneurship and innovation section of the european management journal. his research pertains to strategy and organizational theory focusing on technology, innovation, and entrepreneurial activity; knowledge flows within and across geographic agglomerations and networks; the evolution, creation, and diffusion of technologies and innovations; and international business. his work has been published in leading journals such as the academy of management journal, organization science, research policy, and global strategy journal. etienne wenger-trayner is a global thought leader in the field of communities of practice and social learning systems. he is the author and co-author of seminal books on communities of practice, including situated learning; communities of practice: learning, meaning, and identity; cultivating communities of practice; digital habitats; and landscapes of practice. his work as researcher, author, and consultant has influenced both thinking and practice in a wide variety of fields, including business, education, government, and social theory. community, economic creativity and organization organizational learning and communities-of-call for papers / european management journal xxx (xxxx) xxx practice: toward a unified view of working, learning, and innovation la gestion des connaissances. firmes et communaut es de savoir social collectives: a partial form of organizing that sustains social innovation an introduction to the economy of the knowledge society situated learning: legitimate peripheral participation codification des connaissances et question du langage socialisation et g en eration des connaissances : distinguer les collectifs des communaut es les communaut es d'innovation underground, upperground et middle-ground : les collectifs cr eatifs et la capacit e cr eative de la ville communities of practice. learning, meaning, and identity learning in landscapes of practice: boundaries, identity, and knowledgeability in practice-based learning a guide to managing knowledge: cultivating communities of practice promoting and assessing value creation in communities and networks: a conceptual framework. open universiteit: ruud de moor centrum key: cord-328430-eme58ztj authors: sarriot, eric; shaar, ali nashat title: community ownership in primary health care—managing the intangible date: 2020-10-01 journal: glob health sci pract doi: 10.9745/ghsp-d-20-00427 sha: doc_id: 328430 cord_uid: eme58ztj although enduringly intangible, community ownership is foundational to primary health care. this intangibility is a reminder of what programs can and should do (create space for dialogue, question their own choices, expand diversity in stakeholder voices making sense of program-induced changes, including through evaluation) and what they cannot do (manage someone else’s ownership). the concept of community ownership in primary health care has a long history but remains challenged in terms of definition, measurement, and differences of perspective from practitioners on a gradient between utilitarianism and empowerment. it continues to be somewhat intangible. n although a universal definition across time and contexts may be illusory, contextual appreciation of its dynamic evolution under programmatic influences-for different stakeholders with diverse agendas-is accessible to evaluation and learning. n no one can "manage" someone else's ownership, but programs can reject hubris and tokenism by intentionally questioning their unavoidable impact on community ownership and whether they foster it through meaningful dialogue and "sense-making" with local stakeholders. see related article by fontanet et al. i n this issue of ghsp, fontanet et al. 1 invite us to return to a concept that has existed since early discussions of community medicine 2 and primary health care 3 : community ownership in health. many of us who work in global health have felt and seen the excitement and sense of possibility when communities took charge, made a project "their own," innovated to find contextual solutions, and generated energy and hope in addition to buy-in for a lifesaving or health-promoting intervention. in 1992, one of this article's authors witnessed how heavy rains had damaged a clinic serving the poor population of jiftlik in the jordan valley. without institutional funds to rehabilitate the structure, the village residents felt a sense of ownership and accountability and restored the clinic themselves, and this clinic is still providing services in 2020. the literature is rich with case studies like this. [4] [5] [6] as critical as community ownership is-and even foundational for many-it also appears to remain somewhat intangible, possibly impractical for some, and certainly complex for all. we consider some of the reasons for this quandary. the first stumbling block with community ownership is definitional. this naturally starts with, "what is community really?" this question is followed by-as we generally discuss social processes writ large rather than physical assets 7 -"what is ownership?" we will satisfy ourselves for now with the idea that a community can be a geographically and demographically defined group of people, a network of people with a common agenda or challenge (illness), and/or most likely a combination of both of these, which creates the possibility of being in a community but outside of important social relationships. fontanet et al. 1 remind us of the looseness of the concept of community ownership and frame it first under the paris declaration of aid effectiveness 8 ; community ownership would fit with country ownership, albeit on a different, more local scale. (oxfam and save the children, for their part, see a shift in emphasis from community to country as "a more state-centric form of ownership." 9 ) community ownership is sometimes defined through requirements for ownership, including capacity, empowerment, leadership, value found in the provision of a service, aspirations, and participation, or through consequences of ownership, including participation (again), financial commitment, contributions, and organization membership. [10] [11] [12] [13] [14] [15] these definitions can sometimes appear tautological-that ownership is defined by the fact of owning or institutionalizing a process or a goal. the literature associates ownership with sustainability of activities and outcomes, a means to achieve cultural adaptation for effective intervention models and to build problem-solving capacity. 10, 12, 16 ownership can be described as a requirement to build community capacity in a health promotion effort, yet capacity can be presented a save the children, washington dc, usa. b palestinian child institute, an-najah national university, nablus, palestine. correspondence to eric sarriot (esarriot@savechildren.org). global health: science and practice 2020 | volume 8 | number 3 as a requirement of ownership. 10 whichever way the causal link is created, it is presented on the path to effective and sustainable health interventions. countless evaluation reports have also associated failure of achievement and sustainability to the lack of community ownership generated by external projects. in the past, the concept has also been associated to financial contributions by communities, 17 something critically revised through the universal health coverage agenda. much like the concept of participation, ownership lives in the tension between utilitarianism and empowerment, 18 bridging over to human rights, democratic, and humanist perspectives on development processes. the ottawa charter for health promotion encouraged a process for enabling communities to increase control over and improve health and notably stated 19 : health promotion works through concrete and effective community action in setting priorities, making decisions, planning strategies and implementing them to achieve better health. at the heart of this process is the empowerment of communities-their ownership and control of their own endeavors and destinies. advancing community ownership faces at least 3 other challenges. although we support and believe in the ottawa charter's vision of seeking to increase people's control over their own health, we must also acknowledge that calls for ownership and "full participation" (as in the recent astana statement 20 ) sometimes contain an element of idealism that pragmatists can occasionally point out with a wink or with cynicism in the face of harsh "field" realities. community members may in fact be satisfied sometimes by simply being clients of health services. demands for social accountability surge when quality, equity, responsiveness, and access conditions are not met. but when they are, people might satisfy themselves with utilizing, rather than owning, a service. indeed, public health problems are defined in a context, and these "problems-in-context" demand specific solution configurations, not all of which require the same level of social engagement. people responding to an acute threat might not perceive ownership as an immediate priority. of course, the global health community had to rapidly re-discover the importance of building a response with communities in the ebola emergency and efforts to eradicate polio. 21, 22 the current global challenges with vaccine acceptance and the coronavirus disease (covid-19) situation 23 are also signaling that some form of ownership is required for scale, sustainability, and impact of interventions. still, we must also acknowledge that many shortterm bets can be won with money and energy invested in proximal determinants of health. ownership is critical but may be a distal determinant of success. we undermine our own advocacy if we appear to take for granted the value of technicity, policy, and organization in solving health challenges and present ownership in absolute terms. why are we asking about ownership ultimately? because although they are always well-intended, not infrequently effective, and sometimes sustainable, our external projects inherently displace power and ownership from "natural" social systems (if there is such a thing). we punctuate an equilibrium, if not of ownership, at least of acceptance or resignation to a social baseline, but unless some new equilibrium of ownership is found between diverse stakeholders, the system will be attracted back to its baseline or some other suboptimal state. ignoring this tension poses a great risk of hubris. we know the stereotype: experts can come and "give messages," tell people what the evidence says, and incentivize them to follow their plan, while failing to listen honestly and with respect to the local and community-appropriate ideas for adaptation of the approaches. white elephants are built. without being a cynic, simply having self-satisfaction with giving token respect for the value of community ownership or coopting can lead to asking the wrong questions, in other words, having a poor definition of what problems really need to be addressed in context. policy makers close a market to create social distancing; populations protest because they weigh differently an epidemiological risk against the necessity of feeding their family; the market reopens, but no effective community-owned risk reduction solution has been developed. although the concern about projects' displacement of ownership may have been born out of an evolution of international programs away from colonialism, "do-gooding," and hubris, it also applies to any national or regional program trying to reach remote, poor, minority, or neglected areas. displacement of ownership is not an we undermine our own advocacy if we appear to take for granted the value of technicity, policy, and organization in solving health challenges and present ownership in absolute terms. international development problem; it is a universal central-to-local (resource rich to resource poor) development problem. and while "we" question "their" ownership, we are rarely fully accountable for what role and agency we choose to keep to ourselves as we transition. 24 we already mentioned different dimensions through which ownership has been framed. efforts at measurement naturally must also be multidimensional, 9 but this is not the greatest measurement challenge. research may be able to draw conclusions from a distance on the ownership demonstrated by various communities and stakeholders, but program evaluation-seeking to assess what allows or hinders ownership during implementation-must be carried out with the stakeholders or else be meaningless. as is the case for assessing institutional capacity, assessing or measuring ownership requires that the "owners" at least acquiesce to the process. a thought experiment can make the point. how would our employers or neighbors react to an outsider knocking on their virtual door to measure their ownership of a stated goal? while accepting to step on the scale does not influence the weight that will be posted on the scale, the measurement of a community's ownership has community prerequisites in terms of buy-in and boundary decisions (who is the community and who is asking the question?). the prerequisites for measuring ownership are not independent of the ownership variable. it is noteworthy that fontanet et al. allowed different stakeholders to define their ownership differently. elements of subjectivity seem unavoidable-not something typically desired in project performance management. this subjectivity comes with management challenges. projects try to manage by results and give evidence for achievements. we develop indicators that are as objective and reliable as possible. but when it comes to measuring changes in a social system, our log frames and theories of change are challenged to capture the interaction between our programs and social dynamics over time. 25 we say that we "cannot manage it if we cannot measure it," but given the nature of the question, can we ever manage the ownership of someone else? then, what are we trying to measure, who should be doing the measurement, and over what timeframe, if ownership evolves on a different timeline than service outputs? last and not least, ownership in a complex social system is always changing (dynamic) and can be affected by small changes in interpersonal relationships, services, or operational rules. a new equilibrium between stakeholders comes with new rules and boundaries, and questions may be raised about the ownership allowed for newcomers. 11 the stakeholders of community ownership will change, their relationships will change, their perspectives will evolve, as shown by fontanet et al. over just a 24-month period. this leaves us with a series of limitations: we should assess our impact on community ownership, but our measurement is likely to be subjective and flawed. we want to be accountable for progress, but community ownership is precisely about things that we must let go of. we should be concerned about community ownership, but we still cannot totally define it. its local definition depends on who sits around the table. it may change and change substantially based on small evolutions of the problem-in-context. should we just abandon all hope? perhaps not. social scientists will continue to enrich our understanding by dissecting ownership for different problems and contexts. the measurement challenge may be like that of social capital, for which operational measures can be defined in different contexts, even if a set of universal measures for all contexts may remain out of reach. 26 fontanet et al. 1 interestingly circumvent some of the challenges by exploring with qualitative rigor the perceptions of ownership, providing substance to the concept from stakeholders, who have different but compatible definitions of what ownership is to them. the intangible is not made totally tangible, but the local meaning for stakeholders provides guidance to continue developing a program. another role of research may thus be to provide substance for advocacy and to challenge approaches that deny agency to marginalized communities. not all programs have access to strong research capability. however, they can use monitoring, learning, evaluation, and accountability tools to limit disrupting ownership or even to foster it. promoting community ownership and learning about its development may be more akin to generating new social equilibria than planning for the delivery of a discrete outcome. it demands genuine interactions, creating enabling conditions and spaces for incremental changes, and building shared values. these ideas are not far from the concept of "harnessing complexity" in complex social and institutional systems. 27 it quite possibly will require monitoring "us"-how we use our money, power, and time, and maybe addressing more critically when we must act and when we must choose to use restraint-as much as measuring "their" ownership. sustainability-conscious public health practitioners, whether national or international, may not need to worry about precisely measuring the state of community ownership, but to focus more on which agents of the local system are taking agency, how much, and how diverse voices give meaning to tangible changes and intangible perceptions about structures, services, actions, relationships, and values. if we are intent on finding viable long-term solutions to primary health care challenges with a view of sustainable development, 28 transition, and the "journey to self-reliance," 29 the greatest mistake may be failing to critically engage in questioning our projects' effects on community ownership and to mistrust the ability of communities to be agents of change. as messy as it may be. a qualitative exploration of community ownership of a maternity waiting home model in rural zambia community medicine: teaching, research and health care. appleton-century-crofts educational division world health organization institutionalizing communityfocused maternal, newborn, and child health strategies to strengthen health systems: a new framework for the sustainable development goal era comprehensive review of the evidence regarding the effectiveness of community-based primary health care in improving maternal, neonatal and child health: 8. summary and recommendations of the expert panel just and lasting change: when communities own their futures how does community-led total sanitation (clts) affect latrine ownership? a quantitative case study from mozambique declaration on aid effectiveness and the accra agenda for action the power of ownership: transforming us foreign assistance. save the children, oxfam community capacity as means to improved health practices and an end in itself: evidence from a multi-stage study. int q community health educ community participation in health systems research: a systematic review assessing the state of research, the nature of interventions involved and the features of engagement with communities how do community health committees contribute to capacity building for maternal and child health? a realist evaluation protocol design of a community ownership and preparedness index: using data to inform the capacity development of community-based groups community participation: lessons for maternal, newborn, and child health beliefs, behaviors, and perceptions of community-led total sanitation and their relation to improved sanitation in rural zambia unlocking community capabilities across health systems in low-and middleincome countries: lessons learned from research and reflective practice implementation of the bamako initiative: strategies in benin and guinea community participation in health: perpetual allure, persistent challenge ottawa charter for health promotion. who the political economy of the ebola virus disease (evd); taking individual and community ownership in the prevention and control of evd community engagement, ownership, and civil society organizations in polio eradication vaccine hesitancy: the next challenge in the fight against covid-19 monitoring and evaluating the transition of large-scale programs in global health hubris, humility and humanity: expanding evidence approaches for improving and sustaining community health programmes social capital and health in the least developed countries: a critical review of the literature and implications for a future research agenda united nations development program (undp) united states agency for international development. the journey to self-reliance. helping countries to solve their own development challenges acknowledgments: thank you to erica nelson, lenette golding, and judy sarriot for technical and editorial inputs. competing interests: none declared. key: cord-028685-b1eju2z7 authors: fuentes, ivett; pina, arian; nápoles, gonzalo; arco, leticia; vanhoof, koen title: rough net approach for community detection analysis in complex networks date: 2020-06-10 journal: rough sets doi: 10.1007/978-3-030-52705-1_30 sha: doc_id: 28685 cord_uid: b1eju2z7 rough set theory has many interesting applications in circumstances characterized by vagueness. in this paper, the applications of rough set theory in community detection analysis are discussed based on the rough net definition. we will focus the application of rough net on community detection validity in both monoplex and multiplex networks. also, the topological evolution estimation between adjacent layers in dynamic networks is discussed and a new community interaction visualization approach combining both complex network representation and rough net definition is adopted to interpret the community structure. we provide some examples that illustrate how the rough net definition can be used to analyze the properties of the community structure in real-world networks, including dynamic networks. complex networks have proved to be a useful tool to model a variety of complex systems in different domains including sociology, biology, ethology and computer science. most studies until recently have focused on analyzing simple static networks, named monoplex networks [7, 17, 18] . however, most of real-world complex networks are dynamics. for that reason, multiplex networks have been recently proposed as a mean to capture this high level complexity in real-world complex systems over time [19] . in both monoplex and multiplex networks the key feature of the analysis is the community structure detection [11, 19] . community detection (cd) analysis consists of identifying dense subgraphs whose nodes are densely connected within itself, but sparsely connected with the rest of the network [9] . cd in monoplex networks is a very similar task to classical clustering, with one main difference though. when considering complex networks, the objects of interest are nodes, and the information used to perform the partition is the network topology. in other words, instead of considering some individual information (attributes) like for clustering analysis, cd algorithms take advantage of the relational one (links). however, the result is the same in both: a partition of objects (nodes), which is called community structure [9] . several cd methods have been proposed for monoplex networks [7, 8, 12, [16] [17] [18] . also, different approaches have been recently emerged to cope with this problem in the context of multiplex networks [10, 11] with the purpose of obtaining a unique community structure involving all interactions throughout the layers. we can classify latter existing approaches into two broad classes: (i) by transforming into a problem of cd in simple networks [6, 9] or (ii) by extending existing algorithms to deal directly with multiplex networks [3, 10] . however, the high-level complexity in real-world networks in terms of the number of nodes, links and layers, and the unknown reference of classification in real domain convert the evaluation of cd in a very difficult task. to solve this problem, several quality measures (internal and external) have emerged [2, 13] . due to the performance may be judged differently depending on which measure is used, several measures should be used to be more confident in results. although, the modularity is the most widely used, it suffers the resolution limit problem [9] . another goal of the cd analysis is the understanding of the structure evolution in dynamic networks, which is a special type of multiplex that requires not only discovering the structure but also offering interpretability about the structure changes. rough set theory (rst), introduced by pawlak [15] , has often proved to be an excellent tool for analyzing the quality of information, which means inconsistency or ambiguity that follows from information granulation in a knowledge system [14] . to apply the advantages of rst in some fields of cd analysis, the goal of our research is to define the new rough net concept. rough net is defined starting from a community structure discovered by cd algorithms applied to monoplex or multiplex networks. this concept allows us obtaining the upper and lower approximations of each community, as well as, their accuracy and quality. in this paper, we will focus the application of the rough net concept on cd validity and topological evolution estimation in dynamic networks. also, this concept supports visualizing the interactions of the detected communities. this paper is organized as follows. section 2 presents the general concepts about the extended rst and its measures for evaluating decision systems. we propose the definition of rough net in sect. 3. section 4 explains the applications of rough net in the community detection analysis in complex networks. besides, a new approach for visualizing the interactions between communities based on rough net is provided in sect. 4. in sect. 5, we illustrate how the rough net definition can be used to analyze the properties of the community structure in real-world networks, including dynamic networks. finally, sect. 6 concludes the paper and discusses future research. the rough sets philosophy is based on the assumption that with every object of the universe u there is associated a certain amount of knowledge expressed through some attributes a used for object description. objects having the same description are indiscernible with respect to the available information. the indiscernibility relation r induces a partition of the universe into blocks of indiscernible objects resulting in information granulation, that can be used to build knowledge. the extended rst considers that objects which are not indiscernible but similar can be grouped in the same class [14] . the aim is to construct a similarity relation r from the relation r by relaxing the original indiscernibility conditions. this relaxation can be performed in many ways, thus giving many possible definitions for similarity. due to that r is not imposed to be symmetric and transitive, an object may belong to different similarity classes simultaneously. it means that r induces a covering on u instead of a partition. however, any similarity relation is reflexive. the rough approximation of a set x ⊆ u , using the similarity relation r , has been introduced as a pair of sets called rlower (r * ) and r -upper (r * ) approximations of x. a general definition of these approximations which can handle any reflexive r are defined respectively by eqs. (1) and (2). the extended rst offers some measures to analyze decision systems, such as the accuracy and quality of approximation and quality of classification measures. the accuracy of approximation of a rough set x, where |x| denotes the cardinality of x = ∅, offers a numerical characterization of x. equation (3) formalizes this measure such that 0 ≤ α(x) ≤ 1. if α(x) = 1, x is crisp (exact) with respect to the set of attributes, if α(x) < 1, x is rough (vague) with respect to the set of attributes. the quality of approximation formalized in eq. (4) expresses the percentage of objects which can be correctly classified into the class x. [14] . quality of classification expresses the proportion of objects which can be correctly classified in the system; equation (5) formalizes this coefficient where c 1 , · · · , c m correspond to the decision classes of the decision system ds. notice that if the quality of classification value is equal to 1, then ds is consistent, otherwise is inconsistent [14] . equation (6) shows the accuracy of classification, which measures the average the accuracy per classes with different importance levels. its weighted version is formalized in eq (7) [4] . m onoplex (simple) networks can be represented as graphs g = (v, e) where v represents the vertices (nodes) and e represents the edges (interactions) between these nodes in the network. m ultiplex networks have multiple layers, where each one is a monoplex network. formally, a multiplex network can be defined as a triplet < v, e, l > where e = e i such that e i corresponds to the interactions on layer i-th and l is the number of layers. this extension of graph model is powerful enough though to allow modeling different types of networks including dynamic and attributed networks [9] . cd algorithms exploit the topological structure for discovering a collection of dense subgraphs (communities). several multiplex cd approaches emphasize on how to obtain a unique community structure throughout all layers, by considering as similar nodes that ones with the same behavior in most of the layers [3, 10] . in the context of dynamic networks, the goal is to detect the conformation by layers for characterizing the evolutionary or stationary properties of the cd structures. due to the quality of the community structure may be judged differently depending on which measure is used, to be more confident in results several measures should be used [9] . in this section, we recall some basic notions related to the definition of the extension of rst in complex networks. also, we will focus on the introduction of the rough net concept by extrapolating these notions to the analysis of the consistency of the detected communities in complex networks. this concept supports to validate, visualize, interpret and understand the communities and also their evolution. besides, it has a potential application in labeling and refining the detected communities. as was mentioned, it is necessary to start from the definition of the decision system, the similarity relation, and the basic concepts of lower and upper approximations. we use a similarity relation r in our definition of rough net, because two nodes of v can be similar but not equal. the similarity class of the node x is denoted by r (x), as shown in eq. (8) . the r -lower and r -upper approximations for each similarity class are computed by eqs. (1) and (2) respectively. there is a variety of distances and similarities for comparing nodes [1] , such as salton, hub depressed index (hdi), hub promoted index (hpi), similarities based on the topological structure, and dice and cosine coefficients which capture the attribute relations. in this paper, we use the jaccard similarity for computing the similarities based on the topological structure because it has the attraction of simplicity and normalization. the jaccard similarity, which also allows us to emphasize the network topology necessary to apply rst in complex networks, is defined in eq. (9), where γ (x) denotes the neighborhood of the node x including it. r an adjacency tensor for a monoplex (i.e., single layer) network can be reduced to an adjacency matrix. the topological relation between nodes comprises an |v | × |v | adjacency matrix m , in which each entry m i,j indicates the relationships between nodes i and j weighted or not. the weight can be obtained as a result of the application of both a flattening process in a multi-relational network or a network construction schema when we want to apply network-based learning methods to vector-based datasets. if we apply some cd algorithm to this adjacency matrix, then we can consider the combination of the topological structure and the cd results as a decision system where a is a finite set of topological or non-topological features and d / ∈ a is the decision attribute resulting from the detected communities over the network. m ultiplex are powerful enough though to allow modeling different types of networks including multi-relational, attributed and dynamic networks [11] . note that multiplex networks explicitly incorporate multiple channels of connectivity in which entities can have a different set of neighbors in each layer. in a dynamic network each layer corresponds to the network state at a given time-stamp (or each layer represents a snapshot). like a time-series analysis, if attributes are captured in each time, a complex network can be represented as a dynamic network [19] . an adjacency tensor for a dynamic network with dimension l, which corresponds to the number of layers, represents a collection of adjacency matrices. the topological interaction between nodes within each layer k-th of a multiplex network comprises an |v | × |v | adjacency matrix m k , in which each entry m k ij indicates the relationships between nodes i and j in the k-th layer. if we apply a cd algorithm to the whole multiplex network topology by considering multiplex cd approaches [10, 19] in order to compute the unique final community structure, then we can consider the application of rst concepts over the multiplex network as the aggregation of the application of the rst concepts over each layer k-th. consequently, the decision system for the k-th layer is the combination of the topological structure m k and the cd results, formalized as where a k is a finite set of topological or non-topological features in the k-th layer and d / ∈ a is the decision attribute resulting from the detected communities in the multiplex topology (i.e., each node and their counterpart in each layer represent a unique node that belongs to a specific community). besides, it is possible to transform a multiplex into a monoplex network by a flattening process. the main flatten approaches are the binary flatten, the weighted flatten and another based on deep learning [10] . taking into account these variants, we can consider the combination of the topological structure of the transformed network and the cd results as a decision system ds monoplex = (v, a ∪ d), where a = k∈l a k is a finite set of topological or non-topological features that characterize the networks and d / ∈ a is the decision attribute resulting from the detected communities. the multiple instance or ensemble similarity measures are powerful for computing the similarity between nodes taking into account the similarity per layers (contexts). in this section, we describe the application of rough net in important tasks of the cd analysis: the validation and visualization of detected communities and their interactions, and the evolutionary estimation in dynamic networks. a community can be defined as a subgraph whose nodes are densely connected within itself, but sparsely connected with the rest of the network, though other patterns are possible. the existence of communities implies that nodes interact more strongly with the other members of their community than they do with nodes of the other communities. consequently, there is a preferential linking pattern between nodes of the same community (being modularity [13] one of the most used internal measures [9] ). this is the reason why link densities end up being higher within communities than between them. although the modularity is the most widely quality measure used in complex networks, it suffers the resolution limit problem [9] and, therefore, it is unable to judge in a correct way community structure of the networks with small communities or where communities may be very heterogeneous in size, especially if the network is large. several methods and measures have been proposed to detect and evaluate communities in both monoplex and multiplex networks [2, 3, 13] . as well as modularity, normalized mutual information (nmi), adjusted rand (ar), rand, variation of information (vi) measures [2] are widely used, but the latter ones need an obtain the similarity class r k (x) based on equation (8) 12: for x in c[k] do 13: calculate r k * (x) and r * k (x) approximations (see equations (1)-(2)) 14: calculate α(x) and γ(x) approximation measures (see equations (3) external reference classification to produce a result. however, it is very difficult to evaluate a community result because the major of complex networks occur in real world situations since reference classifications are usually not available. we propose to use quality, accuracy and weighted accuracy of classification measures described in sect. 2 to validate community results, taking into account the application of accuracy and quality of approximation measures to validate each community structure. aiming at providing more insights about the validation, we provide a general procedure based on rough net. notice that r k (x) is computed by considering the attributes or topological features of networks in the k-th layer, by using eq. (8). algorithm 1 allows us to measure the quality of the community structure using rough net, by considering the quality and precision of each community. rough net allows judging the quality of the cd by measuring the vagueness of each community. for that reason, if boundary regions are smaller, then we will obtain better results of quality, accuracy and weighted accuracy of classification measures. a huge of real-world complex networks are dynamic in nature and change over time. the change can be usually observed in the birth or death of interactions within the network over time. in a dynamic network is expected that nodes of the same community have a higher probability to form links with their partners than input: two-consecutive layers cl of g, a threshold ξ and a similarity s output: the evolutionary estimations obtain the similarity class r k−i (x) based on equation (8) 8: calculate r k−i * (x) and r * k−i (x) approximations (see equations (1)-(2)) 9: calculate α k−i (x) and γ k−i (x) measures (see equations (3) with other nodes [19] . for that reason, the key feature of the community detection analysis in dynamic networks is the evolution of communities over time. several methods have been proposed to detect these communities over time for specific time-stamp windows [3, 10] . often more than one community structure is required to judge if the network topology has suffered transformation over time for specific window size. to the best of our knowledge, there is no measure able which captures this aspect. for that reason, in this paper, we propose measures based on the average of quality, accuracy and weighted accuracy of classification for estimating in a real number the change level during a specific window timestamp. we need to consider two-consecutive layers for computing the quality, accuracy and weighted accuracy of classification measures in the evolutionary estimation (see algorithm 2) . for that reason, we need to apply twice the rough net concept for each pair of layers. the former rough net application is based on the decision system ds = (v, a k ∪ d k−1 ), where a k is a set of topological attributes in the layer k and d k−1 / ∈ a k is the result of the community detection algorithm in the layer k − 1 (decision attribute). the latter rough net application is based on the decision system ds = (v, a k−1 ∪ d k ), where a k−1 is a set of topological attributes in the layer k − 1 and d k / ∈ a k−1 is the result of the community detection algorithm in the layer k (decision attribute). the measures can be applied over a window size k by considering the aggregation of the quality classification between all pairs of consecutive (adjacency) layers. values nearer to 0 express the topology is evolving over time. in many applications more than a unique real value that expresses the quality of the community conformation is required for the understanding of the interactions throughout the networks. besides, real-world complex networks usually are input: a complex network g, detected communities, a threshold ξ and a similarity s output: community network representation 1: create an empty network g (v , e ) 2: for x in v do 3: obtain the similarity class r (x) based on equation (8) 4: end for 5: for x in communities(g, d) do 6: calculate r * (x) and r * (x) approximations (see equations (1)-(2)) 7: calculate α(x) and γ(x) approximation measures (see equations (3)-(4)) 8: add a new node x where the size corresponds to quality or accuracy 9: end for 10: for x, y in communities(g), x = y do 11: calculate the similarity sbn between communities x-th and y -th 12: add a new edge (i, y, wxy ) where the weighted wij = sbn (x, y ) 13: end for composed by many nodes, edges, and communities, making difficult to interpret the obtained results. thus, we propose a new approach for visualizing the interactions between communities taking into account the quality of the community structure by using the combination of the rough net definition and the complex network representation. our proposal, formalized in algorithm 3, allows us to represent the quality of the community structure in an interpretable way. the similarity measure used for weighted the interactions between communities in the network representation is formalized in eq. (10). the s bn (x, y ) captures the proportion of nodes members of the community x, which cannot be unambiguously classified into this community but belong to the community y and vice-versa. the above idea is computed based on the boundary region bn of both communities x and y . the rough net approach allows us to evaluate the interaction between the communities and its visualization facilitates interpretability. in turn, it helps experts redistribute communities and change granularity based on the application domain requirements. for illustrating the performance of the rough net definition in the community detection analysis, we apply it to three networks, two known to have monoplex topology and the third multiplex one. to be more confident in results, we should use several measures for judging the performance of a cd algorithm [2, 5] .thus, we compare our approach to validate detected communities (i.e., accuracy and quality of classification) with the most popular internal and external measures used for community detection validity: modularity, ar, nmi, rand, vi [2] . modularity [13] quantifies when the division is a good one, in the sense of having many within-community edges. it takes its largest value (1) in the trivial case where all nodes belong to a single community. a value near to 1 indicates strong community structure in the network. all other mentioned measures need external references for operating. all measures except vi, express the best result though values near to 1. for that reason, we use the notation vic for denoting the complement of vi measure (i.e., v ic = 1 − v i). zachary is the much-discussed network 1 of friendships between 34 members of a karate-club at a us university. figure 1 shows the community structures reported by the application of the standard cd algorithms label propagation (lp), multilevel louvain (lv), fast greedy optimization (fgo), leading eigenvector (ev), infomap (im) and walktrap (wt) to the zachary network. each community has been identified with a different colour. these algorithms detect communities, which mostly not correspond perfectly to the reference communities, except the lp algorithm which identically matches. for that reason, we can affirm that the lp algorithm reported the best division. however, in fig. 2 we can observe that the modularity values not distinguish the lp as the best conformation of nodes into communities, while the proposed accuracy and quality of classification measures based on the rough net definition, assign the higher value to the lp conformation regardless of the used threshold. on the other hand, our measures grant the lowest quality results for the community structure obtained by the ev algorithm as expected. notice that fgo and ev assign the orange node with high centrality in the orange community structure in a wrong manner. we can notice that most neighbors of this node are in another community. indeed, the fgo and wt are the following lowest results reported by our measures. figure 3 shows the performance reported by the application of the standard community detection algorithms before mentioned by using the proposed quality measures and the external ones. all measures exhibit the same monotony behaviors with independence of the selected similarity threshold ξ. our measures have the advantage that are internal and behave similarly to external measures. the jazz network 2 represents the collaboration between jazz musicians, where each node represents a jazz musician and interactions denote that two musicians are playing together in a band. six cd algorithms were applied to this network with the objective of subsequently exploring the behavior of validity measures. figure 4 displays that lp obtains a partition in which the number of interactions shared between nodes of different communities is smaller than the number of interactions shared between the communities obtained by the fgo algorithm. however, this behavior is not reflected in the estimation of the modularity values, while it manages to be captured by the proposed quality measures, as shown in fig. 5 . besides, the number of interactions shared between the communities detected by the algorithms lv, fgo, and ev is much greater than the number of interactions shared between the communities detected by the algorithms lp, wt, and im. therefore, this behavior was expected to be captured through the rough net definition. figure 5 shows that the results reported by our measures coincide with the expected results. on the one hand, we can observe that our quality measures exhibit a better performance than the modularity measure in this example. our measures also capture the presence of outliers, this is the reason why the community structure reported by the wt algorithm is higher than the obtained by the lp algorithm. caenorhabditis elegans connectome (celegans) is a multiplex network 3 that consists of layers corresponding to different synaptic junctions: electric (elec-trj), chemical monadic (monosyn), and polyadic (polysyn). figure 6 shows the mapping of the community structure in each network layer, which has been obtained by the application of the muxlod cd algorithm [10] . notice that a strong community structure result must correspond to a structure of densely connected subgraphs in each network layer. this reflexion property is not evident for these communities in the celegans network. for that reason, both the modularity and the proposed quality community detection measures obtain low results (modularity = 0.07, α(ξ = 0.25) = 0.24 and γ(ξ = 0.25) = 0.14). figure 7 shows the interactions between the communities in each layer by considering the muxlod community structure and the algorithm described in sect. 4.3. the community networks show high interconnections and as expected, the results of the quality measures are low. figure 7 shows that the topologies of the polysyn and electrj layers do not match exactly. in this sense, let us suppose without loss of generalization, that we want to estimate if there has been a change in the topology considering these layers as consecutive. to estimate these results, we apply the algorithm described in sect. 4.2. figure 8 shows the modularity, accuracy and quality of classification obtained values, which reflect that the community structure between layers does not completely match, so it can be concluded that the topology has evolved (changed). in this paper, we have described new quality measures for exploratory analysis of community structure in both monoplex and multiplex networks based on the rough net definition. the applications of rough net in community detection analysis demonstrate the potential of the proposed measures for judging the community detection quality. rough net allows us to asses the detected communities without requiring the referenced structure. besides, the proposed evolutionary estimation and the new approach for discovering the interactions between communities allows to the experts a deep understanding of complex real systems mainly based on the visualization of interactions. for the future work, we propose to extend the applications of rough net to the estimation of the community structure in the next time-stamp based on the refinement between adjacent layers in dynamic networks. a new scalable leader-community detection approach for community detection in social networks surprise maximization reveals the community structure of complex networks community detection in multidimensional networks rough text assiting text mining: focus on document clustering validity a novel community detection algorithm based on simplification of complex networks abacus: frequent pattern mining-based community discovery in multidimensional networks fast unfolding of communities in large networks finding community structure in very large networks mathematical formulation of multilayer networks muma: a multiplex network analysis library multiplex network mining: a brief survey finding community structure in networks using the eigenvectors of matrices mixture models and exploratory analysis in networks incomplete information: rough set analysis rough set theory and its applications to data analysis computing communities in large networks using random walks near linear time algorithm to detect community structures in large-scale networks maps of information flow reveal community structure in complex networks. arxiv preprint physics complex network approaches to nonlinear time series analysis key: cord-214006-0w6bqrox authors: aghdam, atae rezaei; watson, jason; miah, shah j; cliff, cynthia title: towards empowering diabetic patients: a perspective on self-management in the context of a group-based education program date: 2020-10-26 journal: nan doi: nan sha: doc_id: 214006 cord_uid: 0w6bqrox this paper provides a novel framework for maximizing the effectiveness of the diabetes group education program, which could be generalized in any similar problem context. diabetes is recognised as the world's fastest-growing chronic disease (australia 2020; lovic et al. 2020) . according to the international diabetes federation (idf), by 2040 one adult in ten will have diabetes (642 million) (australia 2020 ). diabetes is a chronic and progressive disease, which needs continuing self-management and self-awareness for a lifestyle change (kjellsdotter et al. 2020) . selfmanagement is one of the most key success factors impacting the progression of type-2 diabetes for patients, as the decisions that they make daily considerably impact their health outcomes (funnell and anderson 2004) . patients play a pivotal role in their self-care as they are doing more than 95% of their diabetes care outside of medical centres or at home (su et al. 2019) . ohcs as affordable and easily accessible 24/7 services, can facilitate self-management of diabetics by offering health-related advice and stories, social and emotional support (aghdam et al. 2018 ). an ohc refers to a group of people who interact with each other in an online platform about similar health issues (wang et al. 2017) . due to the fact that people tend to trust others who are in a similar situation rather than organisations, businesses, or government figures and media, it stands to reason that the content shared by peers in ohcs has potential to encourage community members to engage in health-related online activities (irshad et al. 2013; litchman and edelman 2019) . participating in ohcs progressively transforms patients from passive recipients of healthcare services to active agents (bragazzi 2013) . as active agents, patients can access, share and integrate their resources, sharing their experiences and stories, and emotionally supporting peers to achieve their health-related goals (forouzandeh and aghdam 2019) (aghdam et al. 2020) . the empowerment of patients improves the patients' role in co-creation, co-designing, and co-delivering health services (ciasullo et al. 2017) . this is essentially a reality for people with chronic disease such as diabetes patients who need informational and emotional supports that allow them to be successful in their disease self-management (litchman and edelman 2019) . in this regard, the diabetes education program has been a focus of prior research as a specific intervention that supports diabetes self-management (findlay-white et al. 2020) . ohcs provide opportunities for members to exchange new ideas, knowledge and information about diabetes selfmanagement, functioning as a bridge among people with type-2 diabetes and healthcare professionals and providing online discussion platforms to brainstorm potential solutions (sim et al. 2008) . as such, this study aims to investigate the potential practices of online diabetes communities to address the following question; how can an online diabetes community empower patients in context of a diabetes group education program (dgep)? the remainder of this paper is organised as follows; the next section describes the background of the literature. the following section explains the research methodology followed by the trustworthiness process. the discussion section provides a comprehensive overview of the contributions of the study from both theoretical and practical perspectives and the final section synthesises the findings and provides avenues for future research. chronic disease is generally of long duration, slow progression, and impacts the quality of life (martz et al. 2007 ). the care for people with chronic diseases such as type-2 diabetes is often complex and requires self-management as an essential element of the chronic care model (wagner et al. 2001 ). self-management includes actions and behaviours to manage the psychical, emotional, and social effects of the chronic disease (adams et al. 2004 ). one of the key methods for self-management of chronic disease and improved health outcomes is patient education (ellis et al. 2004; mensing and norris 2003) . patient education is the keystone of chronic disease self-management and is significant in achieving positive health outcomes for chronic disease patients (ellis et al. 2004; mensing and norris 2003) . patients need support, education, guidance and empowerment from their healthcare providers to tackle barriers to effective self-management (diabetes 2009 ). studies contended that participation in self-management courses also improves patient confidence, self-management skills and ability to self-manage their chronic disease, and improves the quality of life (turner et al. 2015) . diabetes group education programs typically assist patients to achieve knowledge and skills and confidence to manage their diabetes as well as opportunities to interact with peers and healthcare providers (jonkman et al. 2016) . group interactions facilitate further learning and raise motivation by interacting and learning from the experience of others (odgers-jewell et al. 2017) . research shows that diabetes group-based education programs benefit patients who derive social and emotional support from discussion with others (steinsbekk et al. 2012 ). this type of active participation by australasian conference on information systems aghdam & watson 2020, wellington towards empowering diabetic patients patients in their health journey leads to value co-creation (osei-frimpong et al. 2015) . in the healthcare context value co-creation refers to "activities centered around the individual patients or in collaboration with numbers of the service delivery network including the patient, family, friends, other patients, health professionals and the outside community" (mccoll-kennedy et al. 2012, p. 6) . value is co-created synergistically and digital health platforms such as ohcs act as a coordinating device between community members (smedlund 2016) . thus, digital health platforms such as ohcs are ideal places for value co-creation (aghdam et al. 2020; kamalpour et al. 2020) . because of the nature of the dgep, patients face three different stages during their health journey; (1) prior to joining, (2) during the program, and (3) after the program. we adapted customer-dominant logic (cdl) to divide the customer journey into these three phases. in fact, cdl argues that customers control the service situation and control is a relevant issue in many domains, and due to progressively empowered customers (seybold 2001) , this direction will most likely continue in the future (heinonen and strandvik 2015) . accordingly, in the healthcare domain, empowering patients in ohcs can activate value co-creation behaviour among stakeholders (litchman et al. 2018 ). as diabetes self-management requires a patient-centred approach (funnell et al. 2007) , in particular for a demand-driven decision making (e.g. in clinical settings -miah, 2013) and to date, the most successful diabetes self-management group activities and classes have been evaluated based on empowerment theory (heisler 2010) , our study applied empowerment theory in the context of ohcs and a diabetes group education program. empowerment theory contends that actions, activities or structures might be empowering and the outcome of such process leads to being empowered (zimmerman 2000) . according to empowerment theory, people need opportunities to become active in community decision-making to improve their quality of life. as such, we leverage an affordable and easily accessible 24/7 digital health platform such as ohcs to facilitate the process of selfmanagement through informational, social, and emotional support. the proposed framework goes beyond the existing system-centric approaches to a new mode of conceptualisation and practice, which focuses on interactions among all stakeholders in ohcs. the proposed framework addresses diabetesrelated needs and challenges including; informational, social, and psychological needs. in this study, we selected online reddit diabetes communities as our data source. the interactions between users are mostly focused on the posts themselves and members will give the post all their attentions. there are numerous diabetes-related topics in this forum, which make it a promising source of users' interactions for this research study. reddit is a social aggregation and public discussion website. in reddit, three popular diabetes communities comprise of more than 60,000 members. in this study, we selected r/diabetes, r/type2diabetes, and r/diabetes_t2 communities. within each community, there are a variety of threads and topics discussed by users. the total number of users in all of these communities was 59,400 in april 2020. from each topic, the tile and the content (e.g., textual information) were extracted without the additional information of the authors. a total of 189 topics were collected from reddit from october 2019 to april 2020. in total 1989 threads were collected for analysis. research argued that participation in diabetes group education program has multiple benefits for patients such as social and emotional support, and sharing experiences (odgers-jewell et al. 2017) . the queensland university of technology (qut) offers a partnership face-to-face dgep to patients who are newly diagnosed or living with the type-2 diabetes long term. over the course of program, the qut dgep aims to provide a quality lifestyle intervention empowering type-2 diabetic patients to better manage their symptoms. the dgep runs for 10 weeks and includes various types of activities such as; initial assessment, weekly one-hour personalized exercise session, one-hour interactive group education regarding diabetes-related topics (e.g., diet, mindfulness, foot care, living with a chronic condition, etc.), and a final assessment at the end of the program. the outcomes of this award-winning program are promising and all patients involved no longer needing to stay on the long waiting list of the hospitals. one of the most important objectives of the dgep is to keep patients connected whilst outside the program. we, therefore, aim to extend the value of the face-to-face dgep by identifying the potential practices on the online diabetes communities, proposing a diabetes ohc framework for keeping patients connected to the program after discharge from the program. aghdam & watson 2020, wellington towards empowering diabetic patients we collected data from the three popular reddit diabetes online communities (r/diabetes, r/type2diabetes, and r/diabetes_t2). reddit is a popular forum for diabetes (duggan and smith 2013) . there are numerous health-related topics on this website, which make it a promising source of users' interactions for this research study. in addition, reddit allows researchers to mine its data. hence, we used the python reddit application programming interface (api) wrapper (praw) to collect the data. praw is a python package that allows researchers to access, parse topics and subreddit, and extract the associated reply threads. as inclusion criteria for selecting posts and threads, we selected type-2 diabetes-related topics with more than 10 replies on each topic to obtain enough information. the interactions between users are mostly focused on the posts themselves and members will give the post all their attention. demographic information about the participants was anonymized to guarantee the confidentiality and privacy of participants' data. in every stage of this research study, we followed the code of ethics for researchers of the queensland university of technology (qut). the approval number is 1900001024. in this study, we conducted an inductive thematic analysis to identify emergent themes from the data. the six steps of thematic analysis provided by (clarke et al. 2015) , guided us to identify the salient themes. following the six steps of the thematic analysis and with the assistance of the nvivo 12 qualitative analysis software, we manually generated an initial list of codes. during the first step, we performed an initial analysis of the relevant topics and threads and recorded our notes via memo and annotation features of nvivo 12. in the second step, we inductively generated 106 nodes. in the third step, we combined codes revealing three overarching themes and nine subthemes. in the fourth step, which was reviewing and refining the themes, we reviewed all themes and subthemes to make sure that they followed a coherence pattern. during this phase, two themes were integrated because of their common content. in the fifth step, we concisely named the identified themes to reflect the story behind each theme and reflect what the themes are about. hence, we named themes that address the research questions. finally, in the sixth step, findings were synthesised to provide a concise and coherent report. in terms of testing the trustworthiness of the findings, we employed percent agreement as our method of inter-coder reliability checking. two scholars, experienced in qualitative research and thematic analysis, checked different parts from creating initial codes to naming the themes. each of them independently analysed the entire data and during the first meeting, the per cent agreement was 75% and after the second meeting, discussing the essence of the themes, a consensus was achieved and the overall results were 100%, making us confident about the reliability of our findings. after performing the thematic analysis, our analysis resulted in three emergent themes from the data. themes include (1) exchange lifestyle-related advice, (2) experience of commonality, and (3) brainstorm potential solutions for daily challenges. table 1 , summarises the thematic analysis outcomes. as evidenced in table 1 , patient participation in diabetes online communities leads to the co-creation of value. for instance, in theme 1, patients shared resources such as articles, and videos with peers. another key finding is to improve patients' psychological wellbeing by participating in online activities such as story sharing and encourage other members of the community in selfmonitoring. ohcs provide an opportunity for users to enhance their knowledge about symptoms, share their experience and advice. information sharing by peers, experience and advice sharing, life-style related advice sharing, and sharing daily-basis activities are the most common activities identified by researchers in this study through thematically analysing the content of threads in the reddit diabetes online communities. these types of giving and seeking (exchanging) advice are illustrative examples of value co-creation behaviours. in the value co-creation process, stakeholders such as organizations, patients or caregivers share, integrate and renew each other's resources ). our analysis shows that diabetic users mostly shared their experience, stories, and online resources (e.g., research articles, youtube videos, and websites' urls). resource exchange is a mutual action taken by stakeholders in ohcs to access, share, and integrate resources (beirão et al. 2017) . in this regard, ohcs can facilitate resource exchange among stakeholder. for instance, members of the diabetes communities shared their up-to-date information and experience about using wearable devices (e.g., continues glucose monitors (cgm), dexcom and sport watches) for self-monitoring their health condition and reduce the burden of living with diabetes and improve quality of life. the experience of commonality in ohcs provides opportunities for members to feel that they are not alone. hence, the experience of commonality is associated with positive mental health, improving emotional wellbeing members of the diabetes communities perceived these online platforms as great places to tackle the feeling of loneliness and isolation. especially in the current situation of the global outbreak of covid-19, these online communities are ideal places to tackle psychological distress and depression. at this particular point in time, diabetic patients need to strengthen their sense of community by connecting and supporting each other in the ohcs. because of the nature of ohcs, aghdam & watson 2020, wellington towards empowering diabetic patients which provides access to information and coordinated social interactions, the members of these communities benefit an alternative solution and needs such as improving their wellbeing (zhao et al. 2015) . emotional support directly impacts on the ability to self-manage diabetes and equally selfmanagement of diabetes influences emotional wellbeing (schiøtz et al. 2012) . sharing the same situation and stories with other members is another aspect of emotional support. sharing the same stories creates a shared sense of meaning and community for users. in the reddit diabetes communities, a large number of users encourage peers in their self-management of diabetes. patients also reported that sharing monitoring data such as blood glucose and weight makes them feel empowered and motivated. members of these communities' support each other in coping with social and emotional barriers, staying motivated to reach their goals, and encourage better self-care habits without fear of judgement or stigma. improving the emotional wellbeing of diabetes leads to better self-care, overcoming psychological barriers, and ultimately, a better quality of life. ohcs are ideal places for brainstorming solutions by members. we identified brainstorming of potential solutions to address daily challenges as another co-creation behaviour occurred in diabetes online communities. virtual brainstorming is one of the most significant benefits of ohcs for diabetic patients. it provides an opportunity for community members to contribute new ideas to address diabetic daily challenges such as carrying medical equipment, diabetic's workplace problems, injection, and sleep problems. this was identified in many threads posted by the members of the communities. hence, ohcs are ideal places to brainstorm potential solutions to address these issues. as it can be viewed in table 1 , reddit patient suggests a solution to another patient, who is struggling with carrying diabetes bag in public and private business areas. these types of solutions are another example of value co-creation behaviour within diabetes online communities. participating of community members in brainstorming activities, make them feel that their contributions are valuable and their ideas will help peers to tackle some daily challenges. because of the high number of demands for dgep, patients need to be in a waiting list before joining the program. while they are in a waiting list, they can communicate with discharged patients and use their experience. the resource exchange help patients reduce their stress and better prepare for the program. during the program patients, share their experiences and health-related stories with peers, encouraging each other to reach their health-related goals. during this phase, ohc can play an important role as an online interactive platform to facilitate patient-to-patient and patient-to-hcp interaction. after discharge from the program, patients still need to stick to their plans and selfmanage their diabetes. ohcs provide opportunities for them to keep connected to the program, interact with hcps and share their experience of the program with patients, who are in the "prior-tojoining" phase. figure 1 , demonstrates the proposed framework for diabetes online communities. aghdam & watson 2020, wellington towards empowering diabetic patients in terms of the validity and utility of the proposed framework, we conducted expert interviews. a qualitative assessment of the framework flexibility was carried out through interviews with healthcare professionals and the diabetes program coordinator at the qut clinic. two health experts, who are directly involved and organised the dgep, and have more than ten years of experience in the healthcare domain initially evaluated the framework and provided their feedback and suggestions. ohcs are proper educational platforms that lead to better health outcomes and members can learn more from others on how to better manage their health conditions (chen et al. 2019 ). information that shared by patients in ohcs benefits other patients by learning from peers, improving their self-management of disease, and ultimately, improving their health (yan and tan 2014) . the proposed framework focused on patients as active agents in the process of online value co-creation. patients are pivotal stakeholders in our framework that can co-create value by resource exchange and social support. in our framework, diabetic patients participate in different forms of value co-creation through informational, social, and emotional support. ohcs empower patients to actively engage in co-creation activities 24/7 especially in times of fear, isolation, and uncertainty. this research study has been conducted during the global pandemic of the covid-19. during this pandemic and isolation time, patients increasingly participate in diabetes online communities to gain and offer emotional support. these easy-access and 24/7 online platforms help patients to tackle psychological issues such as depression, anxiety, and loneliness because diabetic patients have a twofold greater risk of depression (schram et al. 2009 ). shared stories and experiences in ohcs make patients feel that they are not alone, strengthening their sense of community by connecting and supporting each other. digital health platforms such as diabetes online communities have the potential to increase easy access to diabetes self-management interventions and techniques in the lower cost (rosal et al. 2014) . furthermore, participating in diabetes group-based education program provides opportunities for patients to meet and discuss with other members of the communities, obtaining social and emotional support (steinsbekk et al. 2012) . in doing so, in recent years, the queensland university of technology (qut) offer a partnership program to patients who are newly diagnosed or living with the condition long term. this program aims to provide a quality lifestyle intervention and empowering type-2 diabetic patients to better manage their symptoms. as type-2 diabetes is a self-managed disease, one of the main aims of the program is to keep patients connected to the program after discharge. we australasian conference on information systems aghdam & watson 2020, wellington towards empowering diabetic patients adopted customer-dominant logic (cdl) as a way to explore overlaps between our findings and the dgep. cdl is focused on activities and experiences of the customer at three different stages: preservice, service, and post-service (heinonen and strandvik 2015) . it is used as a way to extend the customers' perceptions of the offering and to extend market interactions (heinonen and strandvik 2015) . following cdl, we divided the diabetic patient journey into three phases including; (1) prior to joining the program, (2) during the program, and (3) after discharge from the program. in each phase, we identified value co-creation behaviours such as; resource sharing, story and advice sharing, and social and emotional support. theoretically, we extended the target body of the knowledge in the healthcare service delivery through enhancing the empowerment theory in which, patients are the central facet and healthcare professionals and healthcare organisations are facilitators of the value cocreation process (funnell and anderson 2004) . research studies have overlooked the nuances relationship between empowerment theory, value co-creation, and the role of ohcs as facilitators for this process. this study provides an opportunity for leveraging peer-to-peer support within digital health platforms such as ohcs to empower patients in their self-management of diabetes. practically, our findings further provide recommendations to the healthcare industry on how to effectively contribute to the online intervention by shifting from traditional dyadic interaction between healthcare professionals and the patient to online co-creation among all stakeholders. we believe that healthcare providers can potentially use our theoretical and empirical findings to extend the value of the face-toface diabetes group-based education programs by keep patients connected to the program 24/7 regardless of their geographical distance with lower cost. our study is not without limitations, yet these limitations provide interesting avenues for future research. our data were gathered from reddit diabetes online communities. we selected three popular diabetes communities on the reddit to analyse the contents and interactions among members. we might overlook some small communities related to type-2 diabetes. furthermore, we only used reddit as our data collection source. future studies can focus on more diabetes online communities, aiming that how can a fully functional assistive artefact be designed for diabetic patients, using the design science research guideline (miah 2008; miah et al. 2019) . although the face-to-face diabetes education program held in queensland, australia, it can be generalised to any other organisational or country context (for example, in decision support implementation (ali, miah and khan, 2018) ensuring empowering end users). our future study will extend the current framework by conducting interviews with the members of the communities to identifying their current level of engagement with ohc, identify benefits and challenges of using these platforms, and investigate their online value co-creation behaviour. therefore, there are some areas required for further research. another future avenue is to investigate the perspective in which healthcare organisations indirectly participate in online value cocreation. experimental design studies of ohcs to explore the behavioural and psychological aspects of social support could also be useful. in this research study, we sought to extend the current understanding of the potential of diabetes online communities in empowering self-management for diabetic patients. as such, the main aim of this study was to investigate the potential practices of online diabetes communities to empower selfmanagement of diabetic patients in their health journey. findings show that patients in diabetes online communities share information, experiences, stories, and potential solutions. they actively participate in online activities regarding offering and receiving support from peers. the vast majority of the shared contents on diabetes online communities include lifestyle-related advice such as diet, exercise and using wearable technologies to better monitor and care of diabetes. members of diabetes online communities contend that these online forums are ideal platforms to obtain social and emotional support from peers. our findings, which investigated the connection between diabetes online communities' practices and outcomes and the real-world dgep case can further assist healthcare organisations to effectively contribute to the online intervention and extend their communication channel from a traditional power balance between hco and patients to interactive platform that enables all stakeholders to actively engage in value co-creation activities. as discussed, type-2 diabetes is a chronic disease that needs ongoing self-care and self-manage. ohcs provide opportunities for them to encourage each other in regards to sticking to their self-monitoring and selfmanagement. this is especially true when they discharge from the dgep and have no access to faceto-face interactions. the 1st annual crossing the quality chasm summit: a focus on communities improving the theoretical understanding toward patient-driven health care innovation through online value cocreation: systematic review online value co-creation in the healthcare service ecosystem: a review antecedents of business intelligence implementation for addressing organizational agility in small business context, pacific value cocreation in service ecosystems: investigating health care at the micro, meso, and macro levels medicine: some considerations on salvatore iaconesi's clinical story fostering participant health knowledge and attitudes: an econometric study of a chronic disease-focused online health community value co-creation in the health service ecosystems: the enabling role of institutional arrangements qualitative psychology: a practical guide to research methods) national evidence based guideline for patient education in type 2 diabetes 6% of online adults are reddit users diabetes patient education: a meta-analysis and meta-regression what's the point?": understanding why people with type 2 diabetes decline structured education health recommender system in social networks: a case of facebook empowerment and self-management of diabetes from dsme to dsms: developing empowerment-based diabetes self-management support customer-dominant logic: foundations and implications different models to mobilize peer support to improve diabetes self-management and clinical outcomes: evidence, logistics, evaluation considerations and needs for future research self-management interventions: proposal and validation of a new operational definition how can online communities support resilience factors among older adults to take charge of one's life-group-based education for patients with type 2 diabetes in primary care-a lifeworld approach perceptions of the diabetes online community's credibility, social capital, and help and harm: cross-sectional comparison between baby boomers and younger adults the diabetes online community: older adults supporting self-care through peer health the growing epidemic of diabetes mellitus coping with chronic illness and disability health care customer value cocreation practice styles group education in diabetes: effectiveness and implementation an ontology based design environment for rural decision support a demand-driven cloud-based business intelligence for healthcare decision making a metadesign theory for tailorable decision support group participants' experiences of a patient-directed group-based education program for the management of type 2 diabetes mellitus service experiences and dyadic value co-creation in healthcare service delivery: a cit approach exploring the meaningfulness of healthcare organizations: a multiple case study a virtual world versus face-to-face intervention format to promote diabetes self-management among african american women: a pilot randomized clinical trial social support and self-management behaviour among patients with type 2 diabetes depression and quality of life in patients with diabetes: a systematic review from the european depression in diabetes (edid) research consortium get inside the lives of your customers p-178 effect of diabetes self-management education (dsme) on glycemic control in patients with type 2 diabetes digital health platform complementor motives and effectual reasoning group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus. a systematic review with meta-analysis diabetes management through remote patient monitoring: the importance of patient activation and engagement with the technology an evaluation of a self-management program for patients with long-term conditions improving chronic illness care: translating evidence into action analyzing and predicting user participations in online health communities: a social support perspective feeling blue? go online: an empirical study of social support among patients patient value co-creation in online health communities: social identity effects on customer knowledge contributions and membership continuance intentions in online health communities empowerment theory this is an open-access article licensed under a creative commons attribution-noncommercial 3.0 new zealand, which permits non-commercial use, distribution, and reproduction in any medium key: cord-002929-oqe3gjcs authors: strano, emanuele; viana, matheus p.; sorichetta, alessandro; tatem, andrew j. title: mapping road network communities for guiding disease surveillance and control strategies date: 2018-03-16 journal: sci rep doi: 10.1038/s41598-018-22969-4 sha: doc_id: 2929 cord_uid: oqe3gjcs human mobility is increasing in its volume, speed and reach, leading to the movement and introduction of pathogens through infected travelers. an understanding of how areas are connected, the strength of these connections and how this translates into disease spread is valuable for planning surveillance and designing control and elimination strategies. while analyses have been undertaken to identify and map connectivity in global air, shipping and migration networks, such analyses have yet to be undertaken on the road networks that carry the vast majority of travellers in low and middle income settings. here we present methods for identifying road connectivity communities, as well as mapping bridge areas between communities and key linkage routes. we apply these to africa, and show how many highly-connected communities straddle national borders and when integrating malaria prevalence and population data as an example, the communities change, highlighting regions most strongly connected to areas of high burden. the approaches and results presented provide a flexible tool for supporting the design of disease surveillance and control strategies through mapping areas of high connectivity that form coherent units of intervention and key link routes between communities for targeting surveillance. networks, the regular and planar nature of road networks precludes the formation of clear communities, i.e. roads that cluster together shaping areas that are more connected within their boundaries than with external roads. highly connected regional communities can promote rapid disease spread within them, but can be afforded protection from recolonization by surrounding regions of reduced connectivity, making them potentially useful intervention or surveillance units 6, 26, 27 . for isolated areas, a focused control or elimination program is likely to stand a better chance of success than those highly connected to high-transmission or outbreak regions. for example, reaching a required childhood vaccination coverage target in one district is substantially more likely to result in disease control and elimination success if that district is not strongly connected to neighbouring districts where the target has not been met. the identification of 'bridge' routes between highly connected regions could also be of value in targeting limited resources for surveillance 28 . moreover, progressive elimination of malaria from a region needs to ensure that parasites are not reintroduced into areas that have been successfully cleared, necessitating a planned strategy for phasing that should be informed by connectivity and mobility patterns 26 . here we develop methods for identifying and mapping road connectivity communities in a flexible, hierarchical way. moreover, we map 'bridge' areas of low connectivity between communities and apply these new methods to the african continent. finally, we show how these can be weighted by data on disease prevalence to better understand pathogen connectivity, using p. falciparum malaria as an example. african road network data. data on the african road network (arn) were obtained from gps navigation and cartography as described in a previous study 24 . the dataset maps primary and secondary roads across the continent, and while it does have commercial restrictions, it is a more complete and consistent dataset than alternative open road datasets (e.g. openstreetmap 29 , groads 30 ). visual inspection and comparison between the arn and other spatial road inventories validated the improved accuracy and consistency of arn, however a quantitative validation analysis was not possible due to the lack of consistent ground-truth data at continental scales. figure 1a shows the african road network data used in this analysis. the road network dataset is a commercial restricted product and requests for it can be directly addressed to garmin 31 . plasmodium falciparum malaria prevalence and population maps. to demonstrate how geographically referenced data on disease occurrence or prevalence can be integrated into the approaches outlined, gridded data on plasmodium falciparum malaria prevalence were obtained from the malaria atlas project (http:// www.map.ox.ac.uk/). these represent modelled estimates of the prevalence of p. falciparum parasites in 2015 per 5 × 5 km grid square across africa 32 . additionally, gridded data on estimated population totals per 1 × 1 km grid square across africa in 2015 were obtained from the worldpop program (http://www.worldpop.org/). the population data were aggregated to the same 5 × 5 km gridding as the malaria data, and then multiplied together to obtain estimates of total numbers of p. falciparum infections per 5 × 5 km grid square. detecting communities in the african road network. we modeled the arn as a'primal' road network, where roads are links and road junctions are nodes 33 . spatial road networks have, as any network embedded in two dimensions, physical spatial constraints that impose on them a grid-like structure. in fact, the arn primal network is composed of 300, 306 road segments that account for a total length of 2, 304, 700 km, with an average road length of 7.6 km ± 13.2 km. such large standard deviations, as already observed elsewhere 23, 24, 34 , are due to the long tailed distribution of road lengths, as illustrated in fig. 1c . another property of road network structure is the frequency distribution of the degree of nodes, defined as the number of links connected to each node. most networks in nature and society have a long tail distribution of node degree, implying the existence of hubs (nodes that connect to a large amount of other nodes) 21 , with the majority of nodes connecting to very few others. for road networks, however, the degree distribution strongly peaks around 3, indicating that most of the roads are connected with two other roads. the long tail distribution of the length of road segments, coupled with the peaked degree distribution, indicates the presence of translational invariant grid-like structure, in which road density smoothly varies among regions while their connectivity and structure does not. within such gridlike structures it is very difficult to identify clustered communities, i.e. groups of roads that are more connected within themselves than to other groups. this observation is confirmed by the spatial distribution of betweenness centrality (bc), which measures the amount of time the shortest paths between each couple of nodes pass through a road. the probability distribution of bc is long tailed (fig. 1d) , while its spatial distribution spreads across the entire network, with a structural backbone form, as shown in fig. 1b. again, under such conditions and because of the absence of bottlenecks, any strategy to detect communities that employs pruning on bc values 35 , will be minimally effective. to detect communities in road networks we follow the observation that human displacement in urban networks is guided by straight lines 36 . therefore, geometry can be used to detect communities of roads by assuming that people tend to move more along streets than between between streets. we developed a community detection pipeline that converts a primal road network, where roads are links and roads junction are nodes 33 , to a dual network representation, where link are nodes and street junction link between nodes 37 , by mean of straightness and contiguity of roads. it is important to note here that the units of analysis are road segments, which here are typically short and straight between intersections, making the straightness assumption valid. community detection in the dual network is then performed using a modularity optimization algorithm 38 . the communities found in the dual network are then mapped back to the original primal road network. these communities encode information about the geometry of road pattern but can also incorporate weights associated with a particular disease to guide the process of community detection. nodes in the dual network represent lines in the primal network. the conversion from primal to dual is done by using a modified version of the algorithm known as continuity negotiation 37 . in brief, we assume that a pair of adjacent edges belongs to the same street if the angle θ between these edges is smaller than θ c = 30°. we also assume that the angle between two adjacent edges (i, j) and (j, p) is given by the dot product cos (θ) = r i, j r j,p /r i, j r j,p , where r i, j = r j r i . under these assumptions, the angle between two edges belonging to a perfect straight line is zero, while it assumes a value of 90° for perpendicular edges. our algorithm starts searching for the edge that generates the longest road in the primal space, as can be seen in fig. 2a . then, a node is created in the dual space and assigned to this road. next, we search for the edge that generates the second longest road, and a new node is created in the dual space and assigned to this road. if there is at least one interception between the new road and the previous one, we connect the respective nodes in the dual space. the algorithm continues until all the edges in the primal space are assigned to a node in the dual space, as shown in fig. 2b . note that the conversion from primal to the dual road network has been used extensively to estimate human perception and movement along road networks (space syntax, see 36 ) , which also supports our use of road geometry to detect communities. despite the regular structure of the network in the primal space, the topology of these networks in the dual space is very rich. for instance the degree distribution in dual space follows the power-law p(k) k −γ . this property has been previously identified in urban networks 33 and it is strongly related to the long tailed distribution of road lengths in these networks (see fig. 1c ). since most of the roads are short, most of the nodes in dual space will have a small number of connections. on the other hand, there are a few long roads (fig. 2a ) that originate at hubs in the dual space (fig. 2b ). our approach for detecting communities in road networks consists then in performing classical community detection in the dual representation ( fig. 2c) and then bringing the result back to the primal representation, as shown in fig. 2d . the algorithm used to detect the communities is the modularity-based algorithm by clauset and newman 35 . the hierarchical mapping of communities on the african road network, with outputs for 10, 20, 30 and 40 sets of communities, is shown in fig. 3 . the maps highlight how connectivity rarely aligns with national borders, with the areas most strongly connected through dense road networks typically straddling two or more countries. the hierarchical nature of the approach is illustrated through the breakdown of the 10 large regions in fig. 3a into further sub-regions in b, c and d, emphasizing the main structural divides within each region in mapped in 3a. some large regions appear consistently in each map, for example, a single community spans the entire north african coast, extending south into the sahara. south africa appears as wholly contained within a single community, while the horn of africa containing somalia and much of ethiopia and kenya in consistently mapped as one community. the four maps shown are example outputs, but any number of communities can be identified. the clustering that maximises modularity produces 104 communities, and these are mapped in fig. 4 . even with division into 104 communities, the north africa region remains as a single community, strongly separated from sub-saharan africa by large bridge regions. south africa also remains as almost wholly within its own community, with somalia and namibia showing similar patterns. the countries with the largest numbers of communities tend to be those with the least dense infrastructure equating to poor connectivity, such as drc and angola, though west africa also shows many distinct clusters, especially within nigeria. apart from the sahara, the largest bridge regions of poor connectivity are located across the central belt of sub-saharan africa, where population densities are low and transport infrastructure is both sparse and often poor. the communities mapped in figs 3 and 4 align in many cases with recorded population and pathogen movements. for example, the broad southern and eastern community divides match well those seen in hiv-1 subtype analyses 12 and community detection analyses based on migration data 27 . at more regional scales, there also exist similarities with prior analyses based on human and pathogen movement patterns. for example, the western, coastal and northern communities within kenya in fig. 4b , identified previously through mobile phone and census derived movement data 39, 40 . further, guinea, liberia and sierra leone typically remain mostly within a single community in fig. 3 , with some divides evident in fig. 4c . this shows some strong similarities with the spread of ebola virus through genome analysis 15 , particularly the multiple links between rural guinea and sierra leone, though fig. 4c highlights a divide between the regions containing conakry and freetown when africa is broken into the 104 communities. figure 3 highlights the connections between kinshasa in western drc and angola, with the recent yellow fever outbreak spreading within the communities mapped. figure 4d shows the'best' communities map for an area of southern africa, and the strong cross-border links between swaziland, southern mozambique and western south africa are mapped within a single community, as well as wider links highlighted in fig. 3 , matching the travel patterns found from swaziland malaria surveillance data 41 . integrating p. falciparum malaria prevalence and population data with road networks for weighted community detection. the previous section outlined methods for community detection on unweighted road networks. to integrate disease occurrence, prevalence or incidence data for the identification of areas of likely elevated movement of infections or for guiding the identification of operational control units, an adaptation to weighted networks is required. we demonstrate this through the integration of the data on estimated numbers of p. falciparum infections per 5 × 5 km grid square into the community detection pipeline. the final pipeline for community detection calculated a trade-off between form and function of roads in order to obtain a network partition. the form is related to the topology of the road network and is taken into account during the primal-dual conversion. the topological component guarantees that only neighbor and well connected locations could belong to the same community. the functional part, on the other hand, is calculated by the combination of estimated p. falciparum malaria prevalence multiplied by population to obtain estimated numbers of infections, as outlined above. the two factors were combined to form a weight to each edge of our primal network. the weight w i, j of edge (i, j) is defined as where m(r) is the p. falciparum malaria prevalence and p(r) is the population count, both at coordinate r. these values are obtained directly from the data. when the primal representation is converted into its dual version, the weights of primal edges, given by eq. 1, are converted into weights of dual nodes, which are defined as where i represents the i th dual node and ω i represents the set of all the primal edges that were combined together to form the dual node i (see fig. 2a,b) . finally, weights for the dual edges are created from the weights of dual nodes, by simply assuming the dual network weighted by values of λ i,¯j was used as input for a weighted community detection algorithm. ultimately, when the communities detected in the dual space are translated back to primal space, we have that neighbor locations with similar values of estimated p. falciparum infections belong to the same communities. for the example of p. falciparum malaria used here, the max function was used, representing maximum numbers of infections on each road segment in 2015. this was chosen to identify connectivity to the highest burden areas. areas with large numbers of infections are often 'sources' , with infected populations moving back and forward from them spreading parasites elsewhere 6, 42 . therefore, mapping which regions are most strongly connected to them is of value. alternative metrics can be used however, depending on the aims of the analyses. the integration of p. falciparum malaria prevalence and population (fig. 5a ) through weighting road links by the maximum values across them produces a different pattern of communities (fig. 5b) to those based solely on network structure (fig. 3) . the mapping of 20 communities is shown here, as it identifies key regions of known malaria connectivity, as outlined below. the mapping shows areas of key interest in malaria elimination efforts connected across national borders, such as much of namibia linked to southern angola 43 , but the zambezi region of namibia more strongly linked to the community encompassing neighbouring zambia, zimbabwe and botswana 44 . in namibia, malaria movement communities identified through the integration of mobile phone-based movement data and case-based risk mapping 26 show correspondence in mapping a northeast community. moreover, swaziland is shown as being central to a community covering, southern mozambique and the malaria endemic regions of south africa, matching closely the origin locations of the majority of internationally imported cases to swaziland and south africa 41, 45, 46 . the movements of people and malaria between the highlands and southern and western regions of uganda, and into rwanda 47 , also aligns with the community patterns shown in fig. 5b . finally, though quantifying different factors, the analyses show a similar east-west split to that found in analyses of malaria drug resistance mutations 6, 48 and malaria movement community mapping 27 . the emergence of new disease epidemics is becoming a regular occurrence, and drug and insecticide resistance are continuing to spread around the world. as global, regional and local efforts to eliminate a range of infectious diseases continue and are initiated, an improved understanding of how regions are connected through human transport can therefore be valuable. previous studies have shown how clusters of connectivity exist within the global air transport network 49, 50 and shipping traffic network 50 , but these represent primarily the sources of occasional long-distance disease or vector introductions 1, 8 , rather than the mode of transport that the majority of the population uses regularly. the approaches presented here focused on road networks provide a tool for supporting the design of disease and resistance surveillance and control strategies through mapping (i) areas of high connectivity where pathogen circulation is likely to be high, forming coherent units of intervention; (ii) areas of low connectivity between communities that form likely natural borders of lower pathogen exchange; (iii) key link routes between communities for targetting surveillance efforts. the outputs of the analyses presented here highlight how highly connected areas consistently span national borders. with infectious disease control, surveillance, funding and strategies principally implemented country by country, this emphasises a mismatch in scales and the need for cross-border collaboration. such collaborations are being increasingly seen, for example with countries focused on malaria elimination (e.g. 51, 52 ), but the outputs here show that the most efficient disease elimination strategies may need to reconsider units of intervention, moving beyond being constrained by national borders. results from the analysis of pathogen movements elsewhere confirm these international connections (e.g. 6, 12, 41, 48 , building up additional evidence on how pathogen circulation can be substantially more prevalent in some regions than others. the approaches developed here provide a complement to other approaches for defining and mapping regional disease connectivity and mobility 9 . previously, census-based migration data has been used to map blocks of countries of high and low connectivity 27 , but these analyses are restricted to national-scales and cover only longer-term human mobility. efforts are being made to extend these to subnational scales 53, 54 , but they remain limited to large administrative unit scales and the same long timescales. mobile phone call detail records (cdrs) have also been used to estimate and map pathogen connectivity 26, 40 , but the nature of the data mean that they do not include cross-border movements, so remain limited to national-level studies. an increasing number of studies are uncovering patterns in human and pathogen movements and connectivity through travel history questionnaires (e.g. 41, 47, 55, 56 ), resulting in valuable information, but typically limited to small areas and short time periods. there exist a number of limitations to the methods and outputs presented here that future work will aim to address. firstly, the hierarchies of road types are not currently taken into account in the network analyses, meaning that a major highway and small local roads contribute equally to community detection and epidemic spreading. the lack of reliable data on road typologies, and inconsistencies in classifications between countries, makes this challenging to incorporate however. moreover, the relative importance of a major road versus secondary, tertiary and tracks is exceptionally difficult to quantify within a country, let alone between countries and across africa. finally, data on seasonal variations in road access does not exist consistently across the continent. our focus has therefore been on connectivity, in terms of how well regions are connected based on existing road networks, irrespective of the ease of travel. a broader point that deserves future research is that while intuition suggests a correspondence in most places, connectivity may not always translate into human or pathogen movement. future directions for the work presented here include quantitative comparison and integration with other connectivity data, the integration of different pathogen weightings, and the extension to other regions of the world. qualitative comparisons outlined above show some good correspondence with analyses of alternative sources of connectivity and disease data. a future step will be to compare these different connections and communities quantitatively to examine the weight of evidence for delineating areas of strong and weak connectivity. this could potentially follow similar studies looking at community structure on weighted networks, such as in the us based on commuting data 57 , or uk and belgium from mobile network data 58, 59 . here, p. falciparum malaria was used to provide an example of the potential for weighting analyses by pathogen occurrence, prevalence, incidence or transmission suitability. moreover, future work will examine the integration of alternative pathogen weightings. the maximum difference method was used here to pick out regions well connected to areas high p. falciparum burden, but the potential exists to use different weighting methods depending on requirements, strategic needs, and the nature of the pathogen being studied. despite the rapid growth of air travel, shipping and rail in many parts of the world, roads continue to be the dominant route on which humans move on sub-national, national and regional scales. they form a powerful force in shaping the development of areas, facilitating trade and economic growth, but also bringing with them the exchange of pathogens. results here show that their connectivity is not equal however, with strong clusters of high connectivity separated by bridge regions of low network density. these structures can have a significant impact on how pathogens spread, and by mapping them, a valuable evidence base to guide disease surveillance as well as control and elimination planning can be built. results were produced through four main phases. phase 1: road network cleaning and weighted adjacency list production: the road cleaning operation aimed to produce a road network from the georeferenced vectorial network of roads infrastructure. this phase was conducted using esri arcmap 10.4 (http://desktop.arcgis.com/en/ arcmap/) through the use of the topological cleaning tool. the tool integrates contiguous roads, removes very short links and removes overlapping road segments. road junctions were created using the polyline to node conversion tool, while road-link association was computed using the spatial join tool. malaria prevalence values were assigned to each road using the spatial join tool. the adjacency matrix output, containing also the coordinates for each road junctions, was extracted in form of text file. phase 2: conversion from the primal to the dual network: the primal network created in phase 1 was then used as input for a continuity negotiation-like algorithm. the goal of this algorithm was to translate the primal network into its dual representation (see fig. 2a,b) . the implementation of the negotiation-like algorithm used the igraph library in c++ (http://igraph.org/c/) on an octa-core imac. the conversion took around 20 hours for a primal network with ~200 k nodes running. the algorithm works by first identifying roads composed of many contiguous edges in the primal space. two primal-edges are assumed to be contiguous if the angle between them is not greater than 30° degrees. because the dual representation generated by the algorithm strongly depends on the starting edge, we started by looking for the edge that produces the longest road. as soon as this edge was found, a dual-node was created to represent that road. next we proceeded to look for the edge that produced the second longest road and create a dual-node for that road. we continued this process until every primal-edge had been assigned to a road. finally, dual-nodes were connected to each other if their primal counterparts (roads) crossed each other in the primal space. phase 3: community detection: we used a traditional modularity optimization-based algorithm to identify communities in the dual representation of the road network. the modularity metrics were computed in r using the igraph library (http://igraph.org/r/). to incorporate the prevalence of malaria, we used the malaria prevalence values as edge weights for community detection. phase 4: mapping communities. detected communities were mapped back to the primal road network with the use of the spatial join tool in arcmap. all maps were produced in arcmap. global transport networks and infectious disease spread severe acute respiratory syndrome h5n1 influenza-continuing evolution and spread geographic dependence, surveillance, and origins of the 2009 influenza a (h1n1) virus the global tuberculosis situation and the inexorable rise of drug-resistant disease the transit phase of migration: circulation of malaria and its multidrug-resistant forms in africa population genomics studies identify signatures of global dispersal and drug resistance in plasmodium vivax air travel and vector-borne disease movement mapping population and pathogen movements unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza h3n2 the blood dna virome in 8,000 humans spatial accessibility and the spread of hiv-1 subtypes and recombinants the early spread and epidemic ignition of hiv-1 in human populations spread of yellow fever virus outbreak in angola and the democratic republic of the congo 2015-16: a modelling study virus genomes reveal factors that spread and sustained the ebola epidemic commentary: containing the ebola outbreak-the potential and challenge of mobile network data world development report 2009: reshaping economic geography population distribution, settlement patterns and accessibility across africa in 2010 the structure of transportation networks elementary processes governing the evolution of road networks urban street networks, a comparative analysis of ten european cities the scaling structure of the global road network street centrality and densities of retail and services in bologna integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning international population movements and regional plasmodium falciparum malaria elimination strategies cross-border malaria: a major obstacle for malaria elimination information technology outreach services -itos-university of georgia. global roads open access data set, version 1 (groadsv1) the effect of malaria control on plasmodium falciparum in africa between the network analysis of urban streets: a primal approach random planar graphs and the london street network. the eur finding community structure in very large networks networks and cities: an information perspective the network analysis of urban streets: a dual approach modularity and community structure in networks the use of census migration data to approximate human movement patterns across temporal scales quantifying the impact of human mobility on malaria travel patterns and demographic characteristics of malaria cases in swaziland human movement data for malaria control and elimination strategic planning malaria risk in young male travellers but local transmission persists: a case-control study in low transmission namibia the path towards elimination reviewing south africa's malaria elimination strategy (2012-2018): progress, challenges and priorities targeting imported malaria through social networks: a potential strategy for malaria elimination in swaziland association between recent internal travel and malaria in ugandan highland and highland fringe areas multiple origins and regional dispersal of resistant dhps in african plasmodium falciparum malaria the worldwide air transportation network: anomalous centrality, community structure, and cities' global roles the complex network of global cargo ship movements asian pacific malaria elimination network mapping internal connectivity through human migration in malaria endemic countries census-derived migration data as a tool for informing malaria elimination policy key traveller groups of relevance to spatial malaria transmission: a survey of movement patterns in four subsaharan african countries infection importation: a key challenge to malaria elimination on bioko island, equatorial guinea an economic geography of the united states: from commutes to megaregions redrawing the map of great britain from a network of human interactions uncovering space-independent communities in spatial networks e.s., m.p.v. and a.j.t. conceived and designed the analyses. e.s. and m.p.v. designed the road network community mapping methods and undertook the analyses. all authors contributed to writing and reviewing the manuscript. competing interests: the authors declare no competing interests.publisher's note: springer nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.open access this article is licensed under a creative commons attribution 4.0 international license, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the creative commons license, and indicate if changes were made. the images or other third party material in this article are included in the article's creative commons license, unless indicated otherwise in a credit line to the material. if material is not included in the article's creative commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. to view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. key: cord-252526-4vsfl62z authors: laborde, yvens; manayan, olivia title: community outreach panel explores and addresses higher rates of covid-19–related deaths in the african american population date: 2020 journal: ochsner j doi: 10.31486/toj.20.0063 sha: doc_id: 252526 cord_uid: 4vsfl62z nan in louisiana, african americans are disproportionately affected by poor health outcomes compared to whites with similar health conditions. 1 the novel coronavirus has proven to be no exception, with the african american population accounting for 70.5% of covid-19-related deaths, despite only comprising 32.2% of the state's population. 2 this disparity is thought to be multifactorial, with many of the factors that contribute to health inequity in the african american population also contributing to the morbidity and mortality rates seen in this same population with the novel coronavirus. these factors, which include higher rates of poverty and housing density; lower rates of stable, salaried jobs that permit work-from-home arrangements; and the burden of preexisting, chronic medical conditions, effectively equate to an inability for many members of this community to practice social distancing. to gain further insight into how healthcare professionals can address these factors, drs yvens laborde and olivia manayan, in collaboration with the regular baptist church of new orleans, organized a question and answer panel ( figure) with the aims of (1) providing accurate, up-to-date, evidence-based information about covid-19 to the public in a way that was approachable and accessible, (2) answering questions posed by members of the community, and (3) gaining a better understanding of the root causes of inequities in the healthcare system. the panel was administered through the zoom meeting platform and lasted approximately 60 minutes, with 36 members of the community participating. among the themes discussed were safe social distancing practices, current guidelines for treatment and testing of covid-19, tackling social isolation in the home and intensive care unit setting, and guidelines for quarantining at home. participants expressed interest in participating in clinical trials for novel treatments for the coronavirus and for at-home monitoring of symptoms such as blood pressure and blood oxygen saturation, particularly those who had preexisting comorbidities such as hypertension, diabetes, obesity, and chronic obstructive pulmonary disease. participants sought clarification about articles they had encountered in the media and asked about the use of extracorporeal membrane oxygenation and hyperbaric oxygen chambers as treatments and the use of humidifiers combined with hydrogen peroxide as air sanitation devices. participants expressed the desire for easier and greater access to community testing. one important insight was that not all individuals have access to a vehicle; therefore, the participants expressed a strong desire for the availability of walk-up testing. another challenge is multigenerational households and the need for social support to obtain alternate temporary housing options for covid-19-positive patients being cared for at home. the participants also discussed the heavy financial and mental burdens that the stay-at-home orders were having on them individually and on their communities. volume 20, number 2, summer 2020 gaining first-hand perspectives from individuals at higher risk of mortality from the novel coronavirus is necessary to understand the inequities in healthcare and to form effective strategies to combat these inequities. additional community engagement and outreach activities are needed to further our understanding and to improve the accessibility of healthcare and information for high-risk communities. we hope to engage in more community-based interventions that incorporate the feedback provided during the first session, such as increased at-home monitoring using smart devices that digitally share measurements (eg, oxygen saturation monitors and thermometers). further, all such community-based outreach activities should take into account the importance of meeting context and setting, particularly focusing on the increased effectiveness of integrating outreach into preexisting community groups such as churches or vocational groups. innovative methods of community outreach that are culturally sensitive can provide a powerful platform to engage, empower, and improve health outcomes for african americans and other at-risk communities. as martin luther king famously stated, "of all the forms of inequality, injustice in health is the most shocking and the most inhuman because it often results in physical death." louisiana maternal mortality review report 2011-2016. louisiana department of health covid-19 and african americans ©2020 by the author(s) this article is an open access article distributed under the terms and conditions of the creative commons attribution (cc by) license (creativecommons.org/licenses/by/4.0/legalcode) that permits unrestricted use, distribution, and reproduction in any medium key: cord-332625-3rvis2gy authors: modell, stephen m.; kardia, sharon l. r. title: religion as a health promoter during the 2019/2020 covid outbreak: view from detroit date: 2020-06-16 journal: j relig health doi: 10.1007/s10943-020-01052-1 sha: doc_id: 332625 cord_uid: 3rvis2gy the 2019/2020 covid outbreak has surfaced as a global pandemic. the news has carried stories of the heroic efforts of medical and other health practitioners, with public health officials charting the course of spread. in an urban center like detroit, the generosity of everyday citizens and church organizations has also played an important role. this inspection of the pandemic from the view of detroit will examine the epidemiology of the coronavirus, translation of professional practice into people’s awareness of the chronic disease risk factors which are prevalent in detroit, moral and ethical views on the distribution of resources, and three major ways that religious faith has helped to sustain people’s health and welfare in the midst of the broad social challenges posed by this novel coronavirus. a career day presentation at detroit country day school on a typical day in the life of a public health academician turned into a consoling letter for at-home students on the importance of prevention and the essential value of public health among the other health-related professions. a nephew returning in a rush to chicago from israel caught the coronavirus and then thankfully recovered within 2 weeks, possibly due to his age, having recently graduated from college. the centers for disease control and prevention (cdc) released its 13-page interim guidance for administrators and leaders of community-and faith-based organizations to plan, prepare, and respond to coronavirus disease 2019 which contained diplomatically worded, now understated instructions to "monitor and plan for absenteeism" (cdc 2020, p. 5) . in truth, detroit is known for its myriad overly active churches, mosques, and synagogues, all of which were ironically desolate on days commemorating the rebirth of a religious figurehead, new meaning and prophetic promise, and the freeing of a people from bondage. in this inspection of the covid-19 pandemic, the health status of the city of detroit will be assessed, considering chronic disease contributors and awareness of those contributors. resources are in short supply; the ethics of provider and interventional availability will be considered. community health needs assessments, which in detroit receive input through the efforts of religious community-based organizations, offer one measure of local health and health policies. religious faiths have been sustaining the health and well-being of city residents in connection with the pandemic along three broad fronts that will be tied together in the latter portions of this view from detroit. at our institution 45 min from detroit, as of april 23 the university of michigan medical center reports 175 covid-19 inpatients, 167 of whom have tested positive (michigan medicine 2020) . in the heart of detroit, henry ford hospital reports 185 inpatients testing positive and 3043 outpatients with positive disease status . about half the cases in michigan are nested in wayne county, of which detroit is the largest city. the cdc and world health organization place at higher risk adults over 60 and those with chronic medical conditions (hypertension, obesity, diabetes, lung disease, heart disease, and those with compromised immune systems) (garg et al. 2020, p. 462) . the cdc office of public health genomics has noted the potential for specific biological factors (the ultimate goal of diagnostic and therapeutic targeting)-ace2 genetic variants, interleukin-6, hla antigens, and particular blood groups-to be risk factors in covid-19 severity and outcome (khoury et al. 2020) . risk factors for viral transmission and severity should include elucidation of both viral and human genomes and their interaction. however, it also notes the important role environmental, social and economic factors, and compiled "big data" play in this kind of outbreak. dr. teena chopra, an infectious disease professor at wayne state university who is working with coronavirus patients at detroit medical center, underscores this point: "the high rates of social disadvantage and higher comorbidities make the city of detroit more vulnerable to . so these are the reasons why detroit is, as far as predictions are concerned, showing the steeper curve, and steeper than even new york" (guardian 2020) . about a third of the people in detroit live in poverty. states dr. abdul el-sayed, who resurrected the detroit health department from the city's municipal bankruptcy in 2013, "i think if you're working an $11-an-hour job that has no paid sick leave and no protection guarantee, that being forced to go out and do your job or lose it in the middle of a pandemic is going to increase your probability of either contracting an infectious disease or transmitting it" (bach 2020) . among the covid-19 biological risk factors, el-sayed observes that 4 out of 10 detroit adults are obese, which increases their chances for heart disease and diabetes, and the rate of asthma hospitalizations is more than three times the state average (nather 2016 the detroit health department is quite active in the midst of the pandemic, providing free covid-19 testing; charting the virus' spread in the city by zip code; maintaining a readily viewable covid-19 data dashboard (e.g., showing drive thru testing results and total number of detroit shelters that are screening); and maintaining a covid-19 call center. these are ambitious activities considering that when el-sayed took over, the department was down to 5 people (now it has more than 50). dr. el-sayed's efforts are not singular, though. the m.d., m.p.h. down the hallway from the authors is a busy member of the governor's michigan coronavirus task force on racial disparities. immediately across from the authors is a flu investigational research group that has been pulling in and compiling influenza, respiratory syncytial virus, and covid-19 case data from three hospital systems, including henry ford hospital in detroit, on a daily basis. heroics take place both in the emergency room and the public health setting. shortly after the 2003 severe acute respiratory syndrome (coronavirus sars-cov) pandemic, a toronto physician who had three previous generation family members die in the spanish flu pandemic of 1918 wrote about the ethical clashes a healthcare provider experiences under such circumstances (sawa 2007, pp. 303-306) . two major dilemmas, and decision points, occur. the provider must choose: (1) between the good of an individual person (say, him-or herself or a dear patient) and the well-being of the public and (2) between helping those closest to him or her (family members) and public duty. sawa concluded, "the solution is not simply to move from a conscience-based ethics to a utilitarian-based approach. there will be conflicts in such circumstances between the public health providers and individuals. at times there may be no obvious or 'correct' answers to the dilemmas which emerge. … during such crises, moral development is challenged to grow" (sawa 2007, p. 304) . a pragmatic approach would be to streamline the health system. administrators could anticipate ahead of time the scarcity of resources (vaccines, drugs, ventilators, and hospital beds); assess people's values on their distribution; and train health care workers to make decisions about what would be required of them in the future. consideration of a pandemic from a moral perspective would challenge providers to consider how they would face different kinds of moral reasoning: level 5 is that of justice without mercy (i.e., strict utilitarianism); level 2 "is the level of love based on respect. this level is based not on our love, but on how god loves us." level 1 transcends this level to one of self-sacrificing love. it requires a flexible balancing between the individual, and the society or community. ultimate guidance during a pandemic is neither deterministic nor egoistic. it embraces the needs of all parties the provider could help. the precepts of our current healthcare providers and public health practitioners are guides for future health professionals. for the last 5 years, michigan state university and the university of michigan school of public health have been hosting the new genomic framework for schools and communities curriculum in the underserved cities of detroit and flint, michigan. this national institutes of healthfunded program has brought an understanding, through classroom experiences and community action projects, of diabetes (sixth grade) and addiction (seventh and eighth grades) to middle school students, their families, and the surrounding community (bayer et al. 2018 ). an addiction curriculum panel and mini-workshops composed of adults judging the student projects-representatives from the county health department, health insurance plans, a health research center, and universities-gave students a look at professions that could one day be theirs. the closing event questionnaires and adult interviews also demonstrated an educational type of health preparedness. a teacher attending a diabetes closing event said that he learned about healthy foods and how to prevent diabetes from the students and the professional speaker. parents interviewed shared how the youngsters learned about diabetes in their father and grandmother, and came home talking about what they eat. a number of students explored the different types of chronic disease which happen to be risk factors in the current dilemma. detroit closing event participant #19, a parent, revealed, "she likes to look up different stuff to her question of the day. one example-she looked up stuff about breast cancer, diabetes, and asthma on the internet." a third level of awareness demonstrated by student and attending community member comments involved connection with broader issues, such as associations with conditions like obesity, and the availability of healthy foods in the inner city. the science education partnership award (sepa) program is one way of educating students and their families about chronic disease risk factors, and how they tie in with broader social conditions. detroit and most other american cities are currently experiencing a shortage of resources-testing kits, respirators, and beds-the very items dr. sawa's article anticipated. in a city in which one-third of the residents are poor, it would be expedient to provide care to only those who can afford it. scripture has a perspective on resource bottlenecks. father stanley harakas relates the eastern orthodox view: "neither the ability to pay nor an aristocratic criterion of greater human value or worth is acceptable. … in spite of the enormous difficulties involved, the ethical imperative from the orthodox perspective calls for the widest distribution of health care and life-protecting resources facilities and resources, rather than a concentration of such resources for the select few" (harakas 1980, pp. 26-27) . laurie zoloth, ethicist and jewish studies scholar, refers to isaiah 68:2 that the poor person is to be valued far above the king: "this is the fast i desire: … it is to share your bread with the hungry, and to take the wretched poor into your home. when you see the naked, to clothe him and not to ignore your own kin" (zoloth 1999, p. 245) . the 2019 revision of the public health code of ethics views health justice and equity as core values: "human flourishing requires the resources and social conditions necessary to secure equal opportunities for the realization of health and other capabilities by individuals and communities. … in addition, health justice does not pertain only to the distribution of scarce resources in transactions among individuals; it also involves remediation of structural and institutional forms of domination that arise from inequalities related to voice, power, and wealth" (apha 2019, p. 5). the attempt in 1994 to establish universal health care by the clinton administration considered health insurance to be a social good, everybody's right. this view can be contrasted with that of the current freedom caucus in the usa, which is that government should not be in the business of providing health insurance, and that it is to be considered a market good (mack 2019) . the 2010 patient protection and affordable care act (aca) has acted under the first premise, despite having been moved closer to the middle since its inception. among its accomplishments, the aca has provided health insurance to 20 million americans who would not otherwise own it. as part of this figure, 14.7 million individuals have been enrolled into medicaid and the child health insurance program as a result of medicaid expansion granting eligibility to people with incomes up to 138% of the poverty level. large numbers of people with or at risk of covid-19 are now entering hospitals through emergency room doors. hospitals are required to pay for care for those unable to afford it, while the patient remains in emergency, but not to provide follow-up care, such as for surgery or chronic conditions like cancer and diabetes (mack 2019) , risk factors that underlie coronavirus susceptibility. the societal decision in favor of health care as a social good remains vitally important during the outbreak. the aca has additionally mandated new irs requirements for both public and private hospitals to perform a system-wide check-up called a "community health needs assessment" every 3 years, and to adopt an implementation plan addressing community needs. these chnas have come to the aid of high racial-ethnic composition, low-income populations in cities like the bronx of new york, south chicago, and detroit. the top three stakeholder identified social determinants of health needs in the 2019 detroit henry ford health system chna were: poverty/low income (#1 social issue); housing (#2); and access to healthy food (#3) (henry ford health system 2019, p. 43). the michigan behavioral risk factor survey 2014-2016 shows that 33% of detroit residents are overweight and 37% are obese, health characteristics the chna reports to be on the rise. in addition, the henry ford macomb hospital, located north of detroit, reported diabetes as a priority area. implementation goals in these locations-increased consumption of fruits and vegetables and reduction of body mass index (bmi) in diabetic patients-bear more than a passing resemblance to the dietary and exercise-related lessons in our middle school genomics curriculum, leading us to believe we have given shape to at least a few students' future ambitions. we appreciate that other states will have different priorities. south of the michigan border in franklin county, ohio, which contains that state's metropolitan capitol, columbus, chronic conditions are #5 on the list of prioritized health needs, and infectious diseases (vaccine-preventable infections, sexually-transmitted diseases) are #6 (mount carmel health system 2019, p. v). the health priorities in both states' health systems are relevant to the theme of coronavirus prevention. in the 2019 henry ford health system chna, input was gathered by a variety of mechanisms, including stakeholder surveys, focus groups, and community member feedback. the types of organizations providing input to the chna were health-related, educational, civic, and faith-based, among other categories. in detroit, 5 of the 11 organizations providing input were faith-based (e.g., second baptist church of detroit, lord of lords church, and faith community nursing). our research team has long been aware of the importance of religious community-based organizations for recruiting grass-roots participants for values discussions and dialogs relating to new health interventions. in our nih-funded communities of color and genetics policy project looking at people's attitudes toward new genetic technologies, 5 of the 14 participating community organizations were faith-based (e.g., bethel ame church in ann arbor, mi; faith access to community economic development in flint, mi; and clinica santa maria in grand rapids, mi) (bonham et al. 2009, p. 336) . members of these churches and organizations were entirely african-american and latino, affording a distinct look at the hopes and concerns of people who have experienced marginalization, discrimination, and transience in their own lives. detroit has many active communitybased organizations. the churches and other faith-based organizations are especially aware of the social obstacles and healthcare deficits experienced by their community members. religious involvement in health promotion represents both sides of the coin. on the heads side, religion serves as a source of hope, which is greatly needed emotionally and in a life-sustaining sense during the current crisis. on the other side, religion provides practical services that bolster health and welfare. many people consider themselves more spiritual than religious, but it is the organized nature of religious institutions that is coming to the rescue during the widespread financial and food shortages being experienced. in public health, we consider health promotion to be mediated by health facilitators and deterred by health barriers, which are often physical factors or people advocating for health (kieffer et al. 2005, p. 149 ). in the current dilemma, religion as a health promoter is active in terms of what the churches, temples, and mosques are accomplishing, and their members are carrying out. it is important to recognize that churches have been longstanding partners in health promotion along with public health and medical organizations. lasater and colleagues divide health-related church activity into four levels: (i) the church serving only as a venue for recruiting participants into collaborative health programs; (ii) the intervention delivery occurs on-site at the church, e.g., educational sessions and group classes; (iii) involvement of congregation members in program delivery, as might be carried out by trained lay health workers from within congregational ranks; and (iv) delivery of program elements that include both health messages and religious readings, such as scriptural or ethical guidance, that link religion and health (campbell et al. 2007, p. 217; lasater et al. 1997, pp. s49-s50) . a level ii diabetes prevention program implemented in 15 bronx and harlem churches in new york was aimed at improving nutrition and physical activity levels utilizing a consultant fluent in spanish from the community with a faith orientation, and another who was a nutrition and diabetes educator (gutierrez et al. 2014) . a level iii prevention program aimed at obesity, diabetes, and hypertension in 8 african-american mississippi delta churches contained dietary/physical activity educational sessions led by program staff and a trained church committee member (tussing-humphreys et al. 2013) . a level iv diabetes prevention program in 20 african-american churches in augusta, georgia, was based on 12 core information and risk improvement sessions and utilized input from a community (faith-based) and university advisory board in all aspects of project planning. the board's recommendations resulted in the inclusion of select scriptures and sociocultural preferences in the group lifestyle balance curriculum (sattin et al. 2016) . these programs registered statistically significant outcomes in regards excess eating, blood glucose levels, physical activity level, and personal weight; two involved control arms; and the bronx-harlem program stratified results by race-ethnicity, including identification of group-specific obstacles and motivating factors. churchbased programs are not contoured for late secondary prevention; that is, treating the manifestation of disease like diabetes or cancer. however, they do have a place in primary prevention of disease by mitigating the risk factors involved. the effects of these three programs will not end when the programs themselves end. the church participants are left with new knowledge and tools which can be utilized at any time. in fact, most people during the pandemic have found themselves sequestered to home, where time exists to engage in one's preferred physical activity, and to manage the content of meals, at least as far as these practices relate to the first three chronic disease risk factors for covid-19. pondering the universe's vastness and our capacity to take a fall while traversing it, emerson affirmed, "we judge of a man's wisdom by his hope" (emerson 1951, p. 98) . compared to tangible interventions, hope is a more abstract quality, but one that can lead to health and the will to seek it. paul scherz (2018) delineates three stances toward scripture that pertain to personalized medicine: (1) setting aside anxieties over risk and leaving worldly concerns to god's care; (2) using natural regularities to provide security while realizing that the future is in god's hands; and (3) looking to social factors that structure risk, such as friends or the work environment. these avenues of hope can be generalized to the diversity of religious faiths. while the first stance has been used in decisions over whether to except a newborn from neonatal blood screening, the consequences of leaving population health purely to god and fate during a pandemic are quite stark. even invoking the goal of herd immunity free of intervention would lead to hundreds of thousands of deaths. better an appreciation that god, or one's personal definition of a universal presence, abides with us as we experience calamity and take whatever steps seem wise. indeed, a british study on the knowledge and beliefs of patients newly diagnosed with cancer found that fatalistic beliefs ("cancer is caused by fate and nothing can be done to prevent it") explained only 4.6% of the variance in anxiety scores over the spread of cancer (lord et al. 2012, p. 8) . other attitudes toward the spread of disease supersede a sense of fatalism in people's hopes and fears about what might eventuate. a sense of hope provided by religion can determine whether one engages in healthy practices in the disease context or lets things slide. two interviews from patients with diabetes, the second recovering from a lower leg amputation, depict this stance: my happiness would be within him. … and when i'm at peace, then my body is at peace. i start doing things, i start going to church or wherever i need to go to worship, exercise, time for this and that (choi and hastings 2019, p. 10 ). [spirituality] helps to get by, just like every day. it helps with getting out of bed and getting on with the day, and just do something. it helps to try to walk and "i can do it, yes i can do it, i can do it …" and i can't do it now, but i can do it, i will do it (unantenne et al. 2013 (unantenne et al. , p. 1153 . these statements also apply to conditions in the middle of the covid pandemic. healthy people out of work and without the normal activities of daily living need inspiration to keep moving. for people grieving a loved one or personally recovering from the virus, a sense of hope can help them to simply get through the day. a third patient refers to the hope spirituality can give through people on whom one can rely: it does help me because you realize you've got support … you've got other people of a like mind around you, and it gives you the strength to keep going … a vision that goes alongside your everyday living. you draw strength from it for everyday living … (unantenne et al. 2013 (unantenne et al. , p. 1152 ). in the inner city, other people can be very helpful in times of crisis. detroit has stories of teachers going to homes and asking what residents need, immigrant specialists delivering diapers and food to their clients, and neighbors tilling the soil of nearby community gardens for each other as summer approaches (alvarez and clark 2020) . churches that allowed ten congregants per service early in the outbreak, which provided emotional support to helpers and those being helped alike, have stopped this practice in the wake of state disease prevention rules promulgated by gov. gretchen whitmer. places of worship have been determined and resourceful, though, adapting to circumstances by holding drive-in (in-vehicle) and online services, and transmitting messages of hope on the social media. in detroit, places of worship have been responsive and adaptive to policy. perhaps, the biggest transmitted message of hope was delivered by renowned italian opera singer andrea bocelli on easter sunday 2020 when he conducted a one man performance entitled "music for hope" in the foreground of milan's duomo cathedral with the goal of uniting the world during the pandemic. the mission was a success, breaking live-stream classical music records with an all-time 35 million views. the most evident symbol of religious involvement in sustaining the health of detroit citizens during the pandemic lies in the essential social services the churches are performing. residents are reeling from inability to go to work and the closure of food establishments. the city is already known for being a "food desert" marked by a shortage of nearby grocery stores and healthy food markets. here is an example listing of the services churches are rendering during the outbreak: these services are most frequently performed on behalf of those who for a variety of reasons have been marginalized from what most families take for granted, though with the outbreak, this circle has enlarged. the persons and organizations delivering these services are the unsung heroes of covid-19. we are especially appreciative of the laptop provision to young students (allen 2020), having tested with our middle school students the use of chromebooks and ipads to visualize how genes interact with the environment in sand rat simulations and to model the effects of gene-environment interactions on health using a dynamic model building program, and found that computers seem to be a favored learning method among middle school students! schools are closed during the pandemic, but not all families have computers to upload online lessons. triumph's generous efforts will help both young students and their families. the educational project is a collaboration; the schools themselves provided the digital device and computer laboratory access. neighbors preparing community gardens for each other; deliveries by one community resident to another; social services being performed by the churches; churches securing laptops for young students during school closure-these attributes are known as "community assets" (wallerstein et al. 2005, p. 34) . in the midst of calamity, detroit is both depending on an expert healthcare system and bringing its own community assets to bear. charles dickens opens his classic novel a tale of two cities with the well-known statement: "it was the best of times, it was the worst of times … it was the season of light, it was the season of darkness, it was the spring of hope, it was the winter of despair…." (dickens 1997, p. 13) . though this passage was directed at the contrast between british and french society and the haves and have nots, it very much applies to current circumstances, especially to urban centers swirling in the eye of the pandemic. divisions exist between the different sectors and those who have enough to get by living alongside families barely surviving. the city's functioning displays the socio-ecological model in operation, not just as a chalkboard conception (modell et al. 2013, p. 114; campbell et al. 2007, pp. 215-216) . the overall incidence of infection depends on its incidence among population subgroups, which is contingent on its diagnosis at the site of testing. access to medical care is linked with steps that are being taken in the work environment and home environment. the survival of critical cells helps assure functioning at the organ level (heart, lungs, and immune system), which governs an individuals' health, with influence from their surrounding family, community, and the country's level of preparedness. the two vectors in the model-"the world affects us" and "we affect the world"-represent the necessary collaboration taking place, a bit different from the social clashes of dicken's novel. the newspapers of mid-april provide a slice in history of a city roiling in pandemic yet arched toward recovery if the fates will permit it. one can trace different strands in the city's reaction. the pandemic has affected each individual to the core, exposing deeply human emotions. people working together, and unfortunately the spread of disease between people, show it to be a social phenomenon, with churches as salutary, ever working participants. for scientists and medical and public health practitioners, it is a time of great, amassed energy, trying to contain the spread and keep people alive. in the april 27/may 4, 2020, "finding hope" special issue of time magazine, the dalai lama captured this point in history with the following words: this crisis shows that we must all take responsibility where we can. we must combine the courage doctors and nurses are showing with empirical science to begin to turn this situation around and protect our future from more such threats. … as a buddhist, i believe in the principle of impermanence. eventually, this virus will pass, as i have seen wars and other terrible threats pass in my lifetime, and we will have the opportunity to rebuild our global community as we have done many times before (dalai lama 2020, p. 54). in dickens' great expectations, the protagonist philip pirrip ("pip") is the beneficiary of an unexpected fortune, but at the same time he experiences hardships from the continued aloofness of estelle, the imprisonment and death of his benefactor, magwitch, and the consequent loss of his (pip's) fortune to the crown and by helping his friend financially (dickens 1996, pp. 299, 458, 461) . toward the very end pip has regained his footing through sheer work and self-initiative to become a senior partner in his friend's firm, and in dickens' revision the hint exists that the cruelties of life have made estelle into an enduring companion. before the crisis, the view from the tall buildings of detroit was of a city on the rise. the covid-19 pandemic has gutted the health and well-being of the major american cities, with detroit at the front. on the road to recovery, which is matter of time, patience, and collective effort, detroit's residents and those in the surrounding communities will surely depend on the types of faith the dalai lama has articulated. detroit church adapts to pandemic with drive-in services, loaner laptops for students in battle-tested detroit, neighbors help each other as coronavirus spreads public health code of ethics why covid-19 is a disaster for detroit impact and lessons learned from a school-academic-community partnership in sharing urban youth community research projects on type-2 diabetes as a health promotion strategy community-based dialogue: engaging communities of color in the united states' genetics policy conversation church-based health promotion interventions: evidence and lessons learned interim guidance for administrators and leaders of community-and faith-based organizations to plan, prepare, and respond to coronavirus disease 2019 (covid-19) religion, spirituality, coping, and resilience among african americans with diabetes great expectations a tale of two cities spiritual laws. emerson's essays, 1st and 2nd series hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019-covid-net, 14 states detroit: america's next covid-19 hotspot battles to prepare for coming surge evaluation of a multicultural faith-based diabetes prevention program for the health of body and soul: an eastern orthodox introduction to bioethics community health needs assessment henry ford health system covid-19 cases the public health impact of covid-19: why host genomics? the application of focus group methodologies to community-based participatory research thoughts, not prayers synthesis of findings and issues from religious-based cardiovascular disease prevention trials the beliefs and knowledge of patients newly diagnosed with cancer in a uk ethnically diverse population what america needs to decide: is health care a market good or social good? michigan's covid-19 cases, deaths hit blacks disproportionately. detroit news vital statistics-selected chronic disease indicators, wayne county health department residents covid-19 update the ecological model in genetics and religion 2019 community health needs assessment in the poorest big city in america, he's bringing the health department back to life community trial of a faith-based lifestyle intervention to prevent diabetes among african-americans bioethics for the twenty-first century. ultimate reality and meaning: interdisciplinary studies in the philosophy of understanding risk in christianity and personalized medicine: three frameworks for understanding risk in scripture total number of cases of coronavirus (covid-19) in the united states as of number of deaths from coronavirus (covid-19) in the united states as of a church-based diet and physical activity intervention for rural, lower mississippi delta african american adults: delta body and soul effectiveness study the strength to cope: spirituality and faith in chronic disease developing and maintaining partnerships with communities health care and the ethics of encounter: a jewish discussion of social justice the authors extend their gratitude to irene bayer for reviewing the sepa projectrelated portions of the manuscript. key: cord-009278-98ebmd33 authors: ferreira-coimbra, joão; sarda, cristina; rello, jordi title: burden of community-acquired pneumonia and unmet clinical needs date: 2020-02-18 journal: adv ther doi: 10.1007/s12325-020-01248-7 sha: doc_id: 9278 cord_uid: 98ebmd33 community-acquired pneumonia (cap) is the leading cause of death among infectious diseases and an important health problem, having considerable implications for healthcare systems worldwide. despite important advances in prevention through vaccines, new rapid diagnostic tests and antibiotics, cap management still has significant drawbacks. mortality remains very high in severely ill patients presenting with respiratory failure or shock but is also high in the elderly. even after a cap episode, higher risk of death remains during a long period, a risk mainly driven by inflammation and patient-related co-morbidities. cap microbiology has been altered by new molecular diagnostic tests that have turned viruses into the most identified pathogens, notwithstanding uncertainties about the specific role of each virus in cap pathogenesis. pneumococcal vaccines also impacted cap etiology and thus had changed streptococcus pneumoniae circulating serotypes. pathogens from specific regions should also be kept in mind when treating cap. new antibiotics for cap treatment were not tested in severely ill patients and focused on multidrug-resistant pathogens that are unrelated to cap, limiting their general use and indications for intensive care unit (icu) patients. similarly, cap management could be personalized through the use of adjunctive therapies that showed outcome improvements in particular patient groups. although pneumococcal vaccination was only convincingly shown to reduce invasive pneumococcal disease, with a less significant effect in pneumococcal cap, it remains the best therapeutic intervention to prevent bacterial cap. further research in cap is needed to reduce its population impact and improve individual outcomes. also high in the elderly. even after a cap episode, higher risk of death remains during a long period, a risk mainly driven by inflammation and patient-related co-morbidities. cap microbiology has been altered by new molecular diagnostic tests that have turned viruses into the most identified pathogens, notwithstanding uncertainties about the specific role of each virus in cap pathogenesis. pneumococcal vaccines also impacted cap etiology and thus had changed streptococcus pneumoniae circulating serotypes. pathogens from specific regions should also be kept in mind when treating cap. new antibiotics for cap treatment were not tested in severely ill patients and focused on multidrug-resistant pathogens that are unrelated to cap, limiting their general use and indications for intensive care unit (icu) patients. similarly, cap management could be personalized through the use of adjunctive therapies that showed outcome improvements in particular patient groups. although pneumococcal vaccination was only convincingly shown to reduce invasive pneumococcal disease, with a less significant effect in pneumococcal cap, it remains the best therapeutic intervention to prevent bacterial cap. further research in cap is needed to reduce its population impact and improve individual outcomes. keywords: cap; community-acquired pneumonia; epidemiology; infectious disease introduction community-acquired pneumonia (cap) is a frequent and deadly infection, having considerable implications for healthcare systems worldwide. cap is responsible globally for 3 million deaths annually [1] . poor outcomes are usually related to cap severity and patient characteristics and co-morbidities. some recent advances emphasise in the importance of continuous research in cap. cap classification has varied over the last 20 years. recently, american guidelines [2] abandoned healthcare-associated pneumonia (hcap) because of the lack of evidence showing differences in microbiology of cap and hcap. this definition change could introduce differences in epidemiological reporting. important advances in cap have also been reported since pneumococcal vaccines and diagnostic tests for viruses. recently, nature medicine published the first use of phages to treat a multidrug-resistant (mdr) microorganism [3] and lancet infectious diseases reported the first use of pneumolysin in severe cap treatment added to standard of care in a phase ii trial [4] . these advances emphasise the importance of continuously updating cap management and research and development. in this review, we aim to provide a perspective of cap burden that is critical to allocating resources to improve patient outcomes and also to support new research focused on unmet clinical needs. this article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the authors. in europe, cap incidence varies widely ranging from 20.6/10,000 in iceland [5] to 79.9/ 10,000 person-years in the uk [6] . data from italy [7] in adults (over 15 years of age) between 2005 and 2019 reported cap incidence between 29.3 and 30.6 per 10,000 inhabitants and a hospitalization rate lower than 10% within 60 days from diagnosis. in france, cap incidence is estimated as 47 per 10,000 person-years [8] with 7% of patients being admitted in the 30-day period after cap diagnosis. in the usa, in adults under 65 years old, cap incidence varies between 24.8/10,000 personyears [9] and 106/10,000 person-years [10] . moreover, as expected, elderly people have a higher incidence, representing 63.0/ 10,000 person-years in 65-79-year-olds and reaching 164.3/10,000 person-years after 80 years old. a study in latin america (including argentina, paraguay and uruguay) reported incidence varying between 4.8 and 110/10,000 person-years in people aged 18--64 years and 109-294/10,000 person-years in those over 65 years [11] . another study in latin america (argentina, brazil, chile, colombia, mexico and venezuela) reported cap incidence varying between 32.6 and 80.4/10,000 personyears in a population over 50 years [12] . south korea has an incidence rate of 62.6/ 10,000 person-years [13] with high importance of pneumococcal pneumonia [14] . cap incidence in japan in middle-aged adults (55--64 years) is 65/10,000 person-years, increasing markedly over age to 169 and 434/10,000 person-years in adults aged 65-74 years and 75--84 years, respectively. a recent study of three asian countries [15] reported that cap is responsible for 1424.5, 420.5 and 98.8 episodes per 10,000 discharges in the philippines, indonesia and malaysia, respectively. in china, cap incidence is estimated as 29.8-221.0 per 10,000 admissions including children [16] . in australia, a study between 2011 and 2013 reported an incidence of 24.5/10,000 personyears [17] in patients older than 20 years. an australian study estimated cap incidence in all age groups (including children) as 161.3/ 10,000, rising to 319.3/10,000 and 659.9/ 10,000 person-years in patients between 65 and 74 years and over 75 years, respectively [18] . a retrospective analysis in new zealand estimates cap incidence as 85/10,000 in the general population and 188.2/10,000 in patients older than 65 years [19] . table 1 summarizes global data on cap incidence in adults. to properly analyze this data it is important to keep in mind that the real clinical incidence of cap is difficult to determine because of differences in reporting and case selection from epidemiological studies. cap notification is optional even in developed countries, except when presenting as invasive pneumococcal disease (when cap is accompanied by the identification of pneumococcus in sterile fluids such as blood, cerebrospinal fluid, and pleural, joint or peritoneal fluid) and legionnaires disease in some countries. worldwide differences in access to healthcare services also preclude direct comparison of incidence [20] . furthermore, scarce data are available from primary care or representing patients treated in ambulatory settings. moreover, cap incidence varies considerably according to geographic location, study methods, case definition and study population [21, 22] . cap incidence varies and is also highly influenced by age and co-morbidities (such as chronic obstructive pulmonary disease, diabetes mellitus, renal failure, congestive heart failure, coronary artery disease and liver disease). a seasonal effect that doubles the rate of pneumonia in the winter months impacts, additionally, incidence studies [23] . according to the world health organisation (who) data, lower respiratory tract infections are the primary infective cause of death globally accounting for 6.1% of deaths [24] . the global burden of disease 2016 study showed that deaths from low respiratory tract infections decreased both in the total number of deaths 8.2% (95% ui, -12.4, -3.9) and age-standardized rates 22.4% (95% ui, -25.3, -18.9), from 2006 to 2016 [25] . in the usa, cap causes around 102,000 deaths per year, a mortality of 13%, 23.4% and 30.6% at 1 month, 6 months and 12 months, respectively [26] . cap alone is responsible for at least 23,000 deaths annually in europe [27] . one-year cap mortality in canada is estimated as 28% [28] . in the asia-pacific region cap mortality is estimated between 1.1% and 30% [29] . in low-income countries, mortality tends to be higher, as proved in a study addressing mortality in lowincome countries that showed higher mortality than in high-income countries, reporting a mortality rate of 23% in cambodia, 19% in senegal, 18% in uganda and 16% in the central african republic [30] . mortality occurs largely in hospitalized patients (6-20%) [22, 26, 31] , but it varies widely according to treatment setting and severity disease, while mortality in primary care and ambulatory patients is inferior to 1% in most of the population, rising in patients over 65 years [7, 8] . one-ninth of patients hospitalized with cap will need intensive care unit (icu) admission because of severe respiratory failure, severe sepsis, or septic shock [32, 33] and cap mortality in these patients remains very high, reaching near 50% [32] . a progressively higher incidence of severe cap was reported in icu, but the mortality rate had decreased by 18% over a 15-year period [34] . data reporting on severity could be driven by reimbursement and, therefore, not represent a real increase in severity cap. patients who had been treated in the hospital for cap have a clinically significant long-term poor survival when compared to matched controls. this increased post-discharge mortality is driven by pulmonary complications, new cap episodes and cardiovascular events, probably in the course of a persistent inflammatory response [32, 35] . cap mortality reflects the enrollment of different patient populations in epidemiological studies as well as their methodology. hospital and icu admission criteria vary among different countries and hospitals, which hinders a comparison between them. different admission criteria across countries, as well as the availability of icu dedicated beds, technological and human resources could change reported mortality, as well as data regarding icu admission. other factors such as guideline adherence and quality of care could also reduce mortality [36] . this data is infrequently reported in epidemiological studies. numerous patient risk factors and co-morbidities can hardly affect disease severity as well as the risk of death. patient risk factors age, co-morbidities and immune status, together with microbiological pathogens and the absence of response to treatment also influence mortality [23] . despite most of cap episodes being caused by few microorganisms, several bacteria, viruses and fungi are recognized as causes of cap. however, even when prospective studies were performed, less than half of patients presenting with cap had a microbiologic diagnosis [9, [37] [38] [39] . important variations are found according to patient severity and used diagnostic tools. the emergence of new diagnostic tests improved the recognition of pathogens compared with previous tests [40] , not only for viruses but also for bacterial pathogens, allowing earlier directed therapy and antibiotic deescalation. a higher rate of microorganism isolation was reported when newer diagnostic approaches and molecular techniques were used [39] [40] [41] . some of these approaches are not widely available in clinical practice and their use remains controversial because no studies prove their outcome benefits and tests are costly. moreover, antiviral agents are inactive against some viruses which precludes the utility of viral identification in clinical practice. streptococcus pneumoniae remains the most isolated bacterial pathogen in cap worldwide in all treatment settings (outpatient, general ward and icu) [37, 39, 40, [42] [43] [44] [45] [46] . s. pneumoniae resistance patterns remain different across countries. in recent studies, mycoplasma pneumoniae, chlamydia pneumoniae and legionella pneumophila, which are well-established causes of cap, have been isolated more frequently than before [19, 22, 47, 48] (table 2) . however, except for l. pneumophila, the diagnosis is difficult in clinical practice but could improve with multiplex pcr tests. haemophilus influenzae account for 1.2-19% [49, 50] of all cases of bacterial cap; however, this rose to around 50% in some studies [40] . h. influenzae is a major public health problem because of its increasing antimicrobial resistance. given this resistance, specially to beta-lactams, h. influenzae was listed in the priority list of who antibiotic-resistant bacteria [51] . unlike in other global areas, gram-negative pathogens are also frequent pathogens (mostly klebsiella pneumoniae and burkholderia pseudomallei) in asia. meloidosis is a life-threatening infectious disease (caused by b. pseudomallei) that is endemic in south and southeast asia, northern australia and china, peaking in the wet season. in some places, it is the third most common deadly disease after hiv and tuberculosis. pneumonia is the most frequent presentation, with a mortality rate reaching 21% [52, 53] , related to shock and bacteremia. several cases are also reported in travellers returning from endemic areas [54, 55] . even subject to some variations, generally methicillin-resistant s. aureus and mdr gramnegative bacilli together cause cap in approximately 5% of patients [56, 57] , presenting even lower incidence in non-critically ill patients. while their empirical coverage is almost always unnecessary in cap, in some areas and in patients with specific risk factors it could be considered; thus, inappropriate therapy is related to increasing mortality. the precise role of viruses in cap is not yet well established e.g. pathogens, co-pathogens, triggers or all-in-one. respiratory viruses are isolated in up to one-third of patients with cap [58] [59] [60] . however, it is not straightforward to rw review article, r retrospective study, p prospective study, nr not reported assume that the presence of virus isolates in nasopharyngeal swabs (as performed in most studies) is sufficient to explain cap pathogenesis. almost all studies (table 3) using polymerase chain reaction (pcr) reported influenza, rhinovirus and respiratory syncytial virus (rsv) as the commonest isolated, but whether they are true pathogens remains debatable. metapneumovirus was first described as a pathogen in children; however, it also infects adults, but the incidence is lower than in children [61] . adults can carry the virus asymptomatically. however, it was recognized as a single cap pathogen in 4% of patients in the usa [9] and recently had been implicated in severe cap [61] . similarly to other viruses, metapneumovirus appears to have a seasonal variation with a peak after influenza season. microbiology remains of utmost importance given that it has a significant prognostic impact. cap unmet clinical needs set priorities for research topics in cap therapy and prevention through vaccines, that are, in our opinion, important to be perform in the next few years, table 4 . in the last decade, many efforts were made to develop new drugs, resulting in newly approved antibiotics listed in table 5 . however, new antibiotics were often being developed to improve their activity against several mdr microorganisms, which are, as previously shown, uncommon in cap. most of these trials focused on patients with non-severe cap requiring hospitalization [62] [63] [64] [65] [66] [67] [68] , excluding severely ill patients (or icu patients), so recommendations for these groups of patients are why is evidence of short duration antibiotic therapy in cap not applied in clinical management? which patients should be treated with antiviral therapy in cap? should antiviral therapy be used empirically during influenza seasonal epidemics or all year? could pk/pd interventions change the outcomes in severe cap? in non-severe cap might new oral antibiotics be directed to once-daily dosages? what is the role of tetracyclines in cap treatment? in severe cap what is the best drug on top of beta-lactam therapy: macrolide or quinolone? adjunctive therapies which patients will benefit from steroid therapy in cap? what are the best steroid, steroid dose and duration in cap? in patients with cap presenting with high inflammatory response, can steroid therapy improve hard outcomes? how should viral infection be excluded before steroid treatment? can steroids and macrolides have an addictive anti-inflammatory effect? is pcv13 superior to ppv23 in invasive pneumococcal disease and pneumococcal cap? which is the best scheme/schedule of anti-pneumococcal vaccination? is vaccine efficacy equivalent in immunocompetent and immunosuppressed patients? is adult pneumococcal vaccination cost-effective in settings with high childhood vaccination rates? will vaccines directed to s. pneumoniae virulence factors be more efficient than current ones? new randomized controlled trial (rct) to study performance of new drugs in patients with severe cap (psi [ 120, port class v) which is the epidemiology of lethal cap? what is the real burden of morbidity and mortality after cap? how should microbiologic surveillance be performed in a global way? derived from studies without their representation. it is an important limitation for the widespread use of new antibiotics, in spite of drug usage specificities in critically ill patients. studies are needed in more severely ill patients. rcts showing superiority instead of ''non-inferiority'' are needed to show a clear advantage of new drugs. in the period after introduction of new antibiotics, microbiological resistance surveillance remains essential because of new antibiotic pressure among pathogens, which could lead to resistance. long-term side effects should also be studied. several therapies have been tested to improve cap outcomes using different strategies, to target innate immunity and adaptive immunity, as well as other immunomodulatory or anti-inflammatory drugs. for the purpose of this review we focus on adjunctive therapies to steroids and macrolides that are clinically available and the subject of many studies. difficulties in showing an impact on hard outcomes, and difficulties in properly identifying the patients that will benefit more of them, impair the use of adjunctive therapies. furthermore, as these therapies focus mainly on the inflammatory response, long-term outcome studies should be performed to analyze how they modulate long-term mortality that is related to chronic inflammatory status. the use of steroid therapy in patients with bacterial cap remains uncertain, mainly because of the lack of knowledge about which phenotypes of disease and patient groups will have greater benefits from this therapy. inflammatory response contributes to cap mortality. steroid therapy reduces the inflammatory response and is therefore believed to improve outcomes in patients with cap . however, this assumption remains controversial because of conflicting results regarding mortality [69] [70] [71] [72] [73] . although it is likely to enhance patient performance, the published positive results focused on soft outcomes (reduction of treatment failure, length of stay, progression to acute respiratory distress [69] [70] [71] [72] [73] . steroid treatment depending on high inflammatory response should also be retested addressing hard endpoints [74] because the previous published rct used radiological improvement as a primary outcome. the only study that established mortality as the primary outcome [75] has not yet been published. precise identification of patients that will benefit from steroids is critical, given that these drugs have important side effects. steroids have the potential to reduce survival in viral respiratory infections. the ideal method to convincingly exclude viral infection before steroid therapy initiation should also be addressed. for that, new studies are needed in specific populations (i.e. studying separately severe and non-severe cap) to improve the body of evidence about steroid usage in cap. macrolide therapy is used frequently in respiratory diseases for its antimicrobial activity and anti-inflammatory effects. several in vitro and in vivo studies proved this ability through a reduction in pro-inflammatory interleukins and improved levels of anti-inflammatory ones, as well as the ability to reduce polymorphonuclear neutrophil (pmn) recruitment and decrease reactive oxygen species [76] [77] [78] [79] [80] . the clinical meaning of these findings remains controversial because, for now, there is no randomized clinical trial confirming the superiority of therapies containing macrolides regarding mortality [81, 82] . however, observational studies [83] [84] [85] [86] showed consistently improved outcomes in invasive pneumococcal disease in severely ill patients (i.e. invasively ventilated and under vasopressor treatment). some guidelines [87] [88] [89] [90] recommend use of macrolides in combination therapy with betalactams as first-line therapy in cap, either in icu and non-icu patients. those recommendations were mainly driven by observational studies that are subject to bias. evidence from recent rcts [91] , failed again to show the advantages of this approach in non-critically ill patients that had never been clearly shown. the generalized use of macrolides has the potential to promote antibiotic resistance, so until an rct shows evidence of benefit macrolides should be judiciously used in non-critically ill patients, whereas macrolides are associated with qtc interval prolongation, gastrointestinal events and drug interactions. pneumococcal vaccination [92] , where the vaccination rate is higher, contributes to pneumococcal vaccine-type disease reduction. data regarding herd protection is not consensual, but its disparity could be explained by the different time intervals between generalized vaccination and studies [93, 94] . further, vaccine introduction also leads to serotype shifting; meanwhile, no effects in resistance patterns were noted [95] . several efforts were made to develop a vaccine to prevent pneumococcal infection resulting in two available vaccines: pneumococcal polysaccharide 23-valent (ppv23, contains capsular polysaccharides of 60% of serotypes causing disease in adults) and pneumococcal conjugate 13-valent (pcv13, stimulates antibody production against 28-42% of serotypes causing disease, varying according different geographical areas). for both, vaccine efficacy has been proven for invasive pneumococcal disease [96, 97] . only pcv13 has been clearly associated with the prevention of non-invasive and invasive pneumococcal community-acquired pneumonia (capita trial [97] ) regarding vaccine-targeted serotypes. in different countries, vaccine indications vary, some based on believing that pcv13 could boost immunity created by ppv23 (when previously administered) [98] . it is controversial whether pcv13 is superior to ppv23, because comparative trials are lacking. new outcomes should also be determined for invasive pneumococcal disease and pneumococcal cap, as well as all-cause mortality and pneumococcal cap-related mortality. the definition of immunosuppressed patients also varies according to different studies, which impairs the process of studying real immunosuppressive risk factors for pneumococcal infection. while in immunocompromised patients indications for vaccination are well established (table 6 ), in other groups evidence is less clear, allowing different recommendations in different countries. pneumococcal vaccine calendar, administration of one or both vaccines [99] , should be further elucidated in new studies. after introduction of vaccines, pneumococcal microbiology in cap moved to serotypes that are not included in vaccines [95] . new vaccines immunizing widely for other serotypes will be valuable, as well as other vaccine approaches targeting s. pneumoniae virulence factors. costeffectiveness of vaccination in adults should be evaluated to analyze whether high child pneumococcal immunization could modify its costeffectiveness in adults and the elderly. the large body of evidence discussed has exposed the high incidence and mortality of cap, usually related to older age and co-morbidities. cap microbiology had been changed because new diagnostic tests have turned viruses into the most identified pathogens, while their role in pathogenesis is not fully explained. adjunctive therapies should remain part of cap tailored management. vaccines should remain the backbone of bacterial cap prevention. further studies are needed to improve outcomes in patients with cap. funding. no funding or sponsorship was received for this study or publication of this article. authorship. all named authors meet the international committee of medical journal editors (icmje) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published. ferreira-coimbra and cristina sarda have no conflicts of interest. jordi rello was nabriva advisor. jordi rello is a member of the journal's editorial board. compliance with ethics guidelines. this article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the authors. open access. this article is licensed under a creative commons attribution-noncommercial 4.0 international license, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the creative commons licence, and indicate if changes were made. the images or other third party material in this article are included in the article's creative commons licence, unless indicated otherwise in a credit line to the material. if material is not included in the article's creative commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. to view a copy of this licence, visit http:// creativecommons.org/licenses/by-nc/4.0/. world health organization. global health estimates 2016: disease burden by cause, age, sex, by country and by region management of adults with hospital-acquired and ventilator-associated pneumonia: 2016 clinical practice guidelines by the infectious diseases society of america and the engineered bacteriophages for treatment of a patient with a disseminated drug-resistant mycobacterium abscessus cal02, a novel antitoxin liposomal agent, in severe pneumococcal pneumonia: a first-in-human, double-blind, placebo-controlled, randomised trial incidence, etiology, and outcomes of community-acquired pneumonia: a population-based study incidence of community-acquired lower respiratory tract infections and pneumonia among older adults in the united kingdom: a population-based study burden of community-acquired pneumonia in italian general practice incidence of all-cause adult community-acquired pneumonia in primary care settings in france communityacquired pneumonia requiring hospitalization among u.s. adults the incidence rate and economic burden of community-acquired pneumonia in a working-age population incidence rate of community-acquired pneumonia in adults: a population-based prospective active surveillance study in three cities in south america morbidity and mortality of pneumonia in adults in six latin american countries disease burden of hospitalized community-acquired pneumonia in south korea: analysis based on age and underlying medical conditions disease burden and etiologic distribution of community-acquired pneumonia in adults: evolving epidemiology in the era of pneumococcal conjugate vaccines assessing the burden of pneumonia using administrative data from malaysia, indonesia, and the philippines contemporary situation of community-acquired pneumonia in china: a systematic review community-acquired syndromes causing morbidity and mortality in australia the cost and disease burden of pneumonia in general practice in australia clinical and economic burden of community-acquired pneumonia amongst adults in the asia-pacific region incidence, direct costs and duration of hospitalization of patients hospitalized with community acquired pneumonia: a nationwide retrospective claims database analysis. vaccine epidemiology of community-acquired pneumonia in adults: a population-based study clinical and economic burden of community-acquired pneumonia among adults in europe epidemiology of communityacquired pneumonia in edmonton, alberta: an emergency department-based study global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study adults hospitalized with pneumonia in the united states: incidence, epidemiology, and mortality respiratory health and disease in europe: the new european lung white book long-term morbidity and mortality after hospitalization with community-acquired pneumonia: a population-based cohort study. medicine (baltimore) community-acquired pneumonia in the asia-pacific region pneumonia in the developing world: characteristic features and approach to management intrahospital mortality for community-acquired pneumonia in mainland portugal between precision medicine for the treatment of severe pneumonia in intensive care new sepsis definition (sepsis-3) and community-acquired pneumonia mortality. a validation and clinical decision-making study age-related risk factors for bacterial aetiology in community-acquired pneumonia epidemiology and clinical outcomes of community-acquired pneumonia in adult patients in asian countries: a prospective study by the asian network for surveillance of resistant pathogens microbial etiology in hospitalized north indian adults with community-acquired pneumonia abnormal liver function in relation to hemodynamic profile in heart failure patients severe community acquired pneumonia in mumbai, india: etiology and predictive value of the modified british thoracic society rule clinical and economic burden of pneumonia among adults in latin america a worldwide perspective of atypical pathogens in community-acquired pneumonia risk factors for drug-resistant pathogens in community-acquired and healthcare-associated pneumonia viral and mycoplasma pneumoniae community-acquired pneumonia and novel clinical outcome evaluation in ambulatory adult patients in china discovery,research, and development of new antibiotics: the who priority list of antibiotic-resistant bacteriaand tuberculosis pulmonary melioidosis: an experience over years from a tertiary care hospital from southwest india clinical features and epidemiology of melioidosis pneumonia: results from a 21-year study and review of the literature melioidosis cases and selected reports of occupational exposures to burkholderia pseudomallei-united states a review of melioidosis cases imported into europe burden and risk factors for pseudomonas aeruginosa communityacquired pneumonia: a multinational point prevalence study of hospitalised patients global initiative for meticillin-resistant staphylococcus aureus pneumonia (glimp): an international, observational cohort study incidence of respiratory viral infections detected by pcr and realtime pcr in adult patients with community-acquired pneumonia: a meta-analysis systematic review of respiratory viral pathogens identified in adults with community-acquired pneumonia in europe viral infection in community-acquired pneumonia: a systematic review and meta-analysis human metapneumovirus as cause of severe community-acquired pneumonia in adults: insights from a ten-year molecular and epidemiological analysis study to compare delafloxacin to moxifloxacin for the treatment of adults with community-acquired bacterial pneumonia (define-cabp) solitaire-iv: a randomized, double-blind, multicenter study comparing the efficacy and safety of intravenous-to-oral solithromycin to intravenousto-oral moxifloxacin for treatment of community focus 2: a randomized, double-blinded, multicentre, phase iii trial of the efficacy and safety of ceftaroline fosamil versus ceftriaxone in community-acquired pneumonia a randomised, double-blind trial comparing ceftobiprole medocaril with ceftriaxone with or without linezolid for the treatment of patients with communityacquired pneumonia requiring hospitalisation efficacy and safety of intravenous-to-oral lefamulin, a pleuromutilin antibiotic, for the treatment of community-acquired bacterial pneumonia: the phase iii lefamulin evaluation against pneumonia (leap 1) trial omadacycline for community-acquired bacterial pneumonia efficacy of corticosteroids in community-acquired pneumonia: a randomized double-blinded clinical trial dexamethasone and length of hospital stay in patients with community-acquired pneumonia: a randomised, double-blind, placebo-controlled trial hydrocortisone infusion for severe community-acquired pneumonia: a preliminary randomized study adjunct prednisone therapy for patients with community-acquired pneumonia: a multicentre, double-blind, randomised, placebo-controlled trial effect of corticosteroids on the clinical course of community-acquired pneumonia: a randomized controlled trial effect of corticosteroids on treatment failure among hospitalized patients with severe community-acquired pneumonia and high inflammatory response: a randomized clinical trial evaluate the safety and efficacy of methylprednisolone in hospitalized veterans with severe community-acquired pneumonia immunomodulating effects of hmr 3004 on pulmonary inflammation caused by heat-killed streptococcus pneumoniae in mice roxithromycin favorably modifies the initial phase of resistance against infection with macrolide-resistant streptococcus pneumoniae in a murine pneumonia model kinetic study of the inflammatory response in streptococcus pneumoniae experimental pneumonia treated with the ketolide hmr 3004 effects of telithromycin in in vitro and in vivo models of lipopolysaccharide-induced airway inflammation effect of multiple doses of clarithromycin and amoxicillin on il-6, ifngamma and il-10 plasma levels in patients with community acquired pneumonia b-lactam monotherapy vs b-lactam-macrolide combination treatment in moderately severe community-acquired pneumonia: a randomized noninferiority trial new trends in the prevention and management of community-acquired pneumonia combination antibiotic therapy lowers mortality among impact of macrolide therapy on mortality for patients with severe sepsis due to pneumonia combination antibiotic therapy with macrolides improves survival in intubated patients with community-acquired pneumonia infectious diseases society of america/american thoracic society consensus guidelines on the management of community-acquired pneumonia in adults guidelines for the management of adult lower respiratory tract infections-full version recommendations for the management of community acquired pneumonia community acquired pneumonia. new guidelines of the spanish society of chest diseases and thoracic surgery (separ) antibiotic treatment strategies for community-acquired pneumonia in adults sustained reductions in invasive pneumococcal disease in the era of conjugate vaccine indirect effects of childhood pneumococcal conjugate vaccination on invasive pneumococcal disease: a systematic review and meta-analysis the burden of pcv13 serotypes in hospitalized pneumococcal pneumonia in spain using a novel urinary antigen detection test. capa study changes in pneumococcal serotypes and antimicrobial resistance after introduction of the 13-valent conjugate vaccine in the united states vaccines for preventing pneumococcal infection in adults polysaccharide conjugate vaccine against pneumococcal pneumonia in adults sequential administration of 13-valent pneumococcal conjugate vaccine and 23-valent pneumococcal polysaccharide vaccine in pneumococcal vaccine-naïve adults 60-64 years of age vaccines to prevent pneumococcal community-acquired pneumonia risk factors for community-acquired pneumonia in adults in europe: a literature review incidence and risk factor prevalence of community-acquired pneumonia in adults in primary care in spain (neumo-es-risk project) burden and risk factors of ambulatory or hospitalized cap: a population based cohort study burden of adult community-acquired, health-careassociated, hospital-acquired, and ventilator-associated pneumonia economic cost of community-acquired pneumonia in new zealand adults the burden and etiology of community-onset pneumonia in the aging japanese population: a multicenter prospective study incidence and case fatality rates of community-acquired pneumonia and pneumococcal diseases among korean adults: catchment population-based analysis severe community-acquired pneumonia requiring intensive care: a study of 80 cases from singapore relationship between clinical features and computed tomographic findings in hospitalized adult patients with communityacquired pneumonia etiology and risk factors for mortality in an adult community-acquired pneumonia cohort in malawi prevalence and etiology of community-acquired pneumonia in immunocompromised patients key: cord-355393-ot7hztyk authors: yuan, peiyan; tang, shaojie title: community-based immunization in opportunistic social networks date: 2015-02-15 journal: physica a: statistical mechanics and its applications doi: 10.1016/j.physa.2014.10.087 sha: doc_id: 355393 cord_uid: ot7hztyk abstract immunizing important nodes has been shown to be an effective solution to suppress the epidemic spreading. most studies focus on the globally important nodes in a network, but neglect the locally important nodes in different communities. we claim that given the temporal community feature of opportunistic social networks (osn), this strategy has a biased understanding of the epidemic dynamics, leading us to conjecture that it is not “the more central, the better” for the implementation of control strategy. in this paper, we track the evolution of community structure and study the effect of community-based immunization strategy on epidemic spreading. we first break the osn traces down into different communities, and find that the community structure helps to delay the outbreak of epidemic. we then evaluate the local importance of nodes in communities, and show that immunizing nodes with high local importance can remarkably suppress the epidemic. more interestingly, we find that high local importance but non-central nodes play a big role in epidemic spreading process, removing them improves the immunization efficiency by 25% to 150% at different scenarios. with the rapid pervasive of a new generation of smart devices, it is possible and necessary to disseminate content in networks by exploiting the human mobility and intermittent device-to-device contacts. networks with such intermittent device-to-device contacts are generally called delay-tolerant [1] or opportunistic [2] . until recently, a variety of opportunistic social networks (osn) have been studied, such as pocket switched networks [3] , publish/subscribe systems [4, 5] , and human contact networks [6] . many interesting phenomena have been observed, including the heavy-tailed distribution of contact times and node degree [7, 8] , the small world phenomenon [9] , the dynamics of epidemic spreading [10, 11] , the high clustering of aggregated social contact statistics [12] , etc. the social contact feature makes nodes in osn vulnerable to infection. therefore, when an infectious disease appears in a population (e.g., the severe acute respiratory syndrome (sars) and the h7n9 virus), designing effective immunization strategies has become very important. to achieve this goal, several immunization strategies have been recently developed, ranging from ring immunization [13] to targeted immunization [14] [15] [16] [17] [18] . the targeted strategy has shown to be more effective than the ring strategy to delay the outbreak of epidemic. the basic idea of targeted immunization is that it first ranks importance of nodes and then removes them, from highest importance to lowest, to observe their impact on epidemic spreading speed. the importance of nodes is generally measured by node's degree, closeness or betweenness centrality in the network [19] . to further improve the immunization efficiency, the authors of ref. [20] suggested that node importance should be recalculated after every step of node removal. previous work mainly concentrates on the global measures of nodes in a network, while ignoring the local importance of nodes in different groups. a number of recent studies indicate that opportunistic networks have a high clustered property [10, 21] and show a temporal community structure [22] . networks with properties at the level of community are quite different from their properties at the entire network level [23] . studies thus paying more attention to the whole network topology and neglecting temporal community structure may miss many interesting features. for example, in real world it is found that people have different average number of contacts in different social cliques. the same person in one clique may be sociable, having many contacts with others, while in another clique he/she may be more taciturn. such contact behaviors have also been seen in opportunistic social networks, where people are more frequently to contact their family or friends, while they meet accidentally with strangers [24] . if one tried to characterize such a network by statistics of the mean number of contacts a person has, one would be missing the features of the network, such as the dynamics of epidemic, resulting in a biased understanding of the epidemic spreading process. as shown in fig. 1 , suppose an infectious disease occurs in a community c 1 , and unfortunately, alice is infected. in order to delay the epidemic spreading, bob should be protected first, because of his close contact to alice and other people. in this situation, although carl has a high social status in the whole network, the infectious disease would break out in the community and then spread to the entire network if he was immunized first. to this end, we investigate the evolution of community structure in opportunistic social networks, and analyze the effect of community-based immunization strategy on epidemic spreading. we make the following contributions. we find that the spreading speed of epidemic within one community is faster than that across different communities. this result is encouraging as it indicates that the outbreak of epidemic could be delayed, if one could further break down the osn traces into lots of small communities by removing some special nodes. we observe that the most efficient immunization strategy on epidemic spreading is to remove nodes with high local importance in communities. more interestingly, we find that high local importance but non-central nodes contribute more to epidemic spreading process, leading us to conjecture that it is not ''the more central, the better'' for the implementation of control strategy. we study the role of nodes' local importance in epidemic spreading, experimentally and analytically. we do so not only by excluding nodes with high local importance from osn traces but also by developing an analytic model which formally characterizes the relationship between nodes' local importance and the community cohesion. we find that the community cohesion is heavily dependent on local importance of nodes. removing locally important nodes sharply lowers the community cohesion, and thus helps to suppress the epidemic. we organize the remainder of this paper as follows. section 2 reviews related works. section 3 introduces the osn traces and network model. the next two sections present our solutions to evaluate node's local importance and cluster nodes, respectively. we analyze the effect of community-based immunization on epidemic spreading in section 6. finally, in section 7 we conclude our paper. immunization strategies in general can be classified into two categories: the ring strategy [13] and targeted strategy [14] [15] [16] [17] [18] . the targeted immunization strategy, in which nodes playing an important role in the network are removed first, has shown to be very effective [16] . pastor-satorras et al. [14] first studied the targeted immunization strategy and found that immunizing nodes with strong connectivity is more effective than that of randomly selected nodes. holme et al. considered a more challenging scenario, where only neighborhood information of nodes can be used. they observed that the most efficient strategy is to iteratively immunize the neighbor of nodes with big out-degree [15] . subsequently, zhang et al. [17] developed a more precise model by taking the immunization willingness of individuals into account. in addition, schneider [18] tested the role of node's betweenness centrality in epidemic spreading, and obtained the similar result. recently, the concept of node importance has been introduced to the fields of routing and message diffusion in opportunistic social networks. for example, the authors of refs. [25, 12, 26] exploited the node importance to make routing decisions. they found that forwarding messages to nodes with high centrality could increase the message delivery ratio. similarly, the authors of refs. [21, 22] observed that nodes wandering from one community to another (such nodes thus have a high contact frequency with others in the network) contributed more to message diffusion. all of the above works focus on the central nodes in a network, they evaluated node's importance either by logical centrality metric or by physical contact behavior among nodes. our work supplements the previous results, exploring the role [4, 5] , multicasting [27] and location of rumor source [28] . we use real and synthetic traces in this study, both of them have their own advantages and can be complementary to each other. the former helps to observe the real epidemic spreading behavior; the latter provides an opportunity to study the dynamics of epidemic spreading in a large scale. the details of each kind of trace are discussed below. real trace (ncsu). the ncsu trace [29] is taken by twenty students who live in a campus dormitory. every week, these students carried garmin gps 60csx handheld receivers, which are waas (wide area augmentation system) capable with a position accuracy of better than three meters 95% of the time, for their daily regular activities, and altogether thirty-five trajectories were gathered from 2006-08-26 to 2006-11-16. the gps receivers perform a device discovery every 10 s to record their current positions. to reduce gps errors, the authors of ref. [29] calibrate a position at every 30 s by averaging three samples over the past thirty-second period. according to the position information in each trajectory, we assume that two nodes have a contact if their distance is less than 150 m, a realistic range for wifi transmissions. synthetical trace (slaw). considering the limitation on scalability of real trace, we need a proper mobility model that can characterize the nature of human mobility, to investigate the dynamics of epidemic spreading, both in width and depth. although many random mobility models, such as random walk and random way point, have been widely used in opportunistic social networks for evaluating routing performance or even the epidemic dynamics [30, 31] , they cannot reflect the main features of human mobility, including the truncated power-law flights and pause-times, the heterogeneously bounded mobility areas of different nodes, etc. the recent work [32] proposed a new mobility model called slaw (self-similar least action walk) that can produce synthetical trace incorporating various features of human mobility. we therefore use it to produce synthetical human traces for investigation on epidemic spreading. the simulation area is 2000 m × 2000 m 2 , the number of nodes is varying from 100 to 500 with a step 100. table 1 summarizes all slaw model parameters (for detail meanings of these parameters, please refer to ref. [32] ). traditional methods to model opportunistic social network mainly include time expanded graph and binary graph. the time expanded graph catches each snapshot of the original network, that is, new edges connecting a node and its copy are added at the next snapshot with the edges having been existed in the last snapshot. it hence incurs to the scalability issue [33] . on the other hand, the binary graph can alleviate the storage overhead. it however neglects the duration of each contact and its decayed age. this method only characterizes the time-varying network at a coarse-grained level [12] . considering these facts, we model an osn as a decayed aggregation graph dag = (v , e), where v denotes the set of nodes (|v | = n) and e denotes the set of edges. let w (t) = (w uv (t)) n×n denote its adjacency matrix and n uv (t) = {(on i , off i ), i = 1, 2, . . . , n} denote the contact series between nodes u and v in the interval [0, t], where the tuple (on i , off i ) denotes the start moment and end moment of the ith contact respectively, and n is the number of contacts. we formulate the contact strength between nodes (i.e., the value of w uv (t)) as a decayed sum problem [34] . decayed sum problem includes two components. the first one is weighted function f (i), and the second one is decayed function g(t − off i ), as shown in the following equation. definition 1 (decayed sum). given the contact series n uv (t), the goal is to estimate the decayed sum at any current time t where f (i) = off i − on i denotes the ith contact duration (i.e., the weighted part of decayed sum problem) and g(t − off i ) denotes the decayed part. we set g(t − off i ) = e −(t −off i ) as the inter-contact time between nodes generally obeys an exponential decay in osn [35] . hence, eq. (1) can be reformulated as (2) we next analyze the space complexity of dag. exact tracking of w uv (t ) needs θ(n) storage bits. considering scalability issue (in general, n ≫ n), we should further reduce the storage overhead while keeping the same calculation precision. let from theorem 1, each node only carries a single counter to exactly track the contact strength between itself and any other node, which forms the row vector w u of matrix w . we use this matrix to cluster nodes in the next section. this paper mainly concentrates on the local importance of nodes and its effect on epidemic spreading. as discussed in sections 1 and 2, the local importance of nodes reflects their social status in a community, rather than in the whole network. 1 traditional solutions for evaluating node importance mainly include the node degree, closeness and betweenness. all of them are not applicable, due to the unknown number of neighbors (for degree measure) and vulnerable end-to-end path (for closeness and betweenness measures) in opportunistic social networks. for example, if we use the betweenness to measure node importance, we first need to collect the shortest paths for each node pairs in an offline way, and then count the number of times that each node appears in these shortest paths. furthermore, the three methods have a bias towards a global measure of nodes. to deal with these issues, we use the technology of principal component analysis (pca) [36] to evaluate node's local importance, which provides an online method for evaluating node importance. principal component analysis is a powerful tool to extract relevant information from a data set by filtering noise and redundant data. this relevant information reveals the hidden, simplified structures underlying the data set. we generalize the principle of pca as follows. suppose that a node u has built the matrix w (please refer to section 3.2), and the matrix w has been centralized (i.e., subtract the corresponding mean from each column). let c w = w t w /(n − 1) denote the covariance matrix of w . let us further diagonalize the c w as where λ = diag(1, 2, . . . , n) and p is a normalized orthogonal matrix. let x i be the eigenvectors of c w and λ i the corresponding eigenvalues, and λ 1 ≥ λ 2 ≥ · · · λ n . we can see from fig. 2 that the row vector α u (α u1 , α u2 , . . . , α un ) fig. 2 . the spectral space of w and its vector representation. the main notations used in the paper. notation explanation w u the row vector of matrix w c w the covariance matrix of w p k+1 the noise components of w p k the principal components of w p the eigenvector decomposition of c w w k the dimensionality reduction matrix of w the distribution of node u in the n-dimensional spectral space the noise distribution of α u denotes the distribution of node u in the n-dimensional spectral space, and the column vector x i (α 1i , α 2i , . . . , α ni ) denotes the coordinates of all of the nodes in the ith dimension of the spectral space. in addition, once we get the orthogonal matrix p, we generally select the top k-dimensional spectral space (x 1 , x 2 , . . . , x k ) as the principal component of w , since the corresponding top k eigenvalues dominate the spectral graph features [37] . algorithm 1 describes the above computation process and table 2 lists the main notations used in the paper. mathematically, let λ k denote the diag(1, 2, . . . , k) and the matrix p k = (x 1 , x 2 , . . . , x k ). let α + u represent (|α u1 | , |α u2 | , . . . , |α ui | , . . . , |α uk |), where |α ui | denotes the absolute value of α ui , we have lemma 1. for a given decayed aggregation graph dag with k communities, the matrix p k is the projection matrix, elements of the vector α + u are the projected values of node u in such k communities. proof. let w k denote the dimensionality reduction matrix of w and the matrix c w k be the covariance matrix of w k . based on the theory of pca, c w k should been diagonalized as well, we have on the other hand, from eq. (4), we get replace λ k with eq. (5) and c w with w t w /(n − 1), respectively, we have multiply both sides by (n − 1) and use the substitution of p t hence, we conclude that the matrix p k is the projection matrix. let c i denote the principal direction of the ith eigenvector x i . based on the singular value decomposition (svd) of w k [38] , both c i and x i are satisfying: after some algebra, we obtain x i = w t k c i /λ proof. from lemma 1, we know that the projection length of node u in community i is |α ui |, and from the spectral graph theory [37] , it has been shown that the eigenvalue λ i indicates the strength of community i in a graph. hence, we get obviously, the l i u is mathematically equivalent to |α ui | if we ignore the factor λ i (considering the fact that local importance of each node in community i has the common factor λ i ). we specifically use the above equation to denote node's local importance, this is mainly because the product of the two parts (|α ui | and λ i ) has a special physical significance, it reflects the contribution of community i to node u's global importance g u , that is, with the above two equations, 2 we evaluate the local and global importance of each node, and plot their empirical distributions in fig. 3 , where the subgraphs correspond to the case in which the local importance of nodes is measured with respect to the largest community ( fig. 3(a) ), the second ( fig. 3(b) ), the third (fig. 3(c) ) and the fourth largest community (fig. 3(d) ), respectively. we observe that, for most nodes, the global importance shows a strong correlation with the local importance. furthermore, the correlation decreases with decreasing community size, as small communities play a weak role in a graph. another interesting observation is that the two social metrics of nodes have different increasing rates, which result in some central nodes having a relatively low importance in a community, and vice versa. in section 6, we study their effects on epidemic spreading. cutting a graph into small clusters has been studied widely. we use the k-means, one of the most well-known clustering algorithms [39] , to detect the temporal community structure. the advantage of the k-means algorithm compared to other methods such as cnm [40] and k-clique [41] is that it does not need to know the neighbor relationship between nodes, it only requires the adjacent matrix of a weighted graph such as the dag, while the cnm and k-clique are more appropriate to a binary graph. in addition, based on the technology of pca discussed above, it is confident to determine the number of communities, the initial elements for each community and the termination condition, three issues strongly affecting the performance of k-means. we next discuss how to detect the community structure based on the refined k-means. (1) determining k, the number of communities: pca provides a roadmap to reduce a confusing data set to a lower dimension that retains the main features of the original data set. the rationale behind this is that the eigenvalues of a network, play a big role in many important graph features. it has been shown that the maximum degree, clique number, and even the randomness of a graph are all related to λ 1 . in general, we select the top k eigenvectors to denote the main structures of the graph, where the value of k satisfies in this paper, we set r = 0.85, an experiential value 3 belonging to the default interval [0.7, 0.9] [37] . (2) excluding the noise nodes: in opportunistic social networks, there commonly exist some nodes with few contacts to other nodes. we call them noise nodes in this study. excluding the noise nodes has little effect on epidemic spreading speed. furthermore, it helps to reduce the problem size and algorithm complexity. we now discuss how to use pca to identify the noise nodes. pca divides a network into two different parts: (1) the principal components p k , and (2) the opposite p k+1 , where the p k+1 = (x k+1 , x k+2 , . . . , x n ), as shown in fig. 2 . we call the latter noise components of the network. accordingly, we divide the row vector α u by α 1,k u (α u1 , α u2 , . . . , α uk ) and α k+1,n u (α u,k+1 , α u,k+2 , . . . , α un ), the signal and noise of the node u. from the theory of pca, if node u is dominated by its noise components, that is, α u is dominated by the α k+1,n u , we can exclude this node from the graph. we use signal-to-noise ratio to identify which component dominates a node. . the snr is the ratio of signal energy over that of noise. from theorem 2, we know that the node u's local importance relative to community i is |α ui | λ i , which is also the amplitude of node u's signal in the ith dimensional spectral space. hence, the signal energy e u signal of node u can be presented as e u signal =  i∈ [1,k] (λ i |α ui |) 2 =  i∈ [1,k] (λ i α ui ) 2 , and the noise strength e u noise is equal to  j∈[k+1,n] (λ j α uj ) 2 . based on definition 2, we call node u a noise node if its snr u satisfies snr u < 1. (3) determining the initial elements for each community: after we have ascertained the number of communities and excluded the noise nodes, the next step is to determine the initial centroid m i (i = 1, 2, . . . , k) for each community c i . we select the node u, s.t. max |α ui | (u = 1, 2, . . . , n) for each eigenvector x i , as the initial node of community i, and set m i = α u . algorithm 2 describes this procedure. v ← 1 {tracking who is the maximum} 6: for u = 2 to n do 7: if |α ui | > maxvalue ∧ u is not a noise node then (11) where n i is the number of nodes belonging to c i . k-means is characterized by minimizing the sum of squared errors, it has been shown that the standard iterative method to k-means suffers seriously from the local minima problem, because of the greedy nature of the update strategy. fortunately, theorem 3 guarantees the pca-based k-means is immune to this problem. ref. [42] ). minimizing j is equivalent to maximizing trace(p t c w p) (please refer to eq. (19) of ref. [42] ), and max trace(p t c w p) = λ 1 + λ 2 + · · · + λ k . in other words, the pca-based k-means has reached the optimal performance once we cluster all of the non-noise nodes for the first time. (5) clustering nodes: for any node u, we compute the distance between itself and the centroid m i , dist(α u , m i ), and select i, s.t. min dist(α u , m i ) (i = 1, 2, . . . , k) as the community node u belongs to, where, dist(α u , m i ) = θ (u, i) = arccos α u m i t ∥α u ∥ 2 ∥m i ∥ 2 and θ(u, i) denotes the angle between α u and m i . after node u joins the community i, we update the centroid m i by eq. (11) so as to select the next node. algorithm 3 describes the clustering procedure. updating m i 8: end for 6. results and analysis we define the temporal community structure as a series of snapshots of communities underlying the traces. we take a snapshot every 120 s for the communities. compared to the five hours duration of experiment, the snapshot interval is chosen to be relatively small so as to obtain a detailed view of the community evolution and to make an unbiased understanding of epidemic spreading as much as possible. fig. 4 plots the number of communities hidden behind the traces at different snapshots, where the term ''s(number)'' denotes the slaw trace with different number of nodes. we observe that the topology is volatile over time. at ncsu, the number of communities varies from 4 to 10 with a mean of 7.3. the number of communities at s(100) varies between 8 and 16 with a mean of 11.7. table 4 summarizes the statistics of community structure for all the traces. fig. 5 shows size of the top 4 communities at the slaw trace with 500 nodes. we find that each community is not stable over time as well. the size of the largest community varies between 13% and 35% during the experiment, and 11%-20% of the nodes belong to the second largest community. the third and fourth largest community are much closer, varying from 9% to 17% and from 8% to 15%, respectively. in summary, the top 4 communities cover almost 60% nodes. other smaller communities share the rest nodes. these results suggest that nodes in opportunistic social networks do not belong to a single, stable community. instead, the network is made of many temporal clusters. we analyze their effects on epidemic spreading in the next section. having shown that the temporal communities are built on node's social contacts, it is significant to understand the role of these communities in epidemic spreading. to this end, we record the epidemic spreading time within one community and that across different communities. table 3 summarizes the results. we find that the spreading speed of epidemic within one community is faster than that from one community to another. at ncsu, the mean spreading time within one community is 19 min, and 45 min between communities. the slaw traces show similar phenomena, especially at s(300), where the inter-community spreading time is almost four times of that of intra-community. this is mainly because there exist many small communities at this scenario (as shown in table 4 , the s(300) trace has the most number of communities and the community structure changes dramatically). the small communities are more effective to refrain the epidemic spreading than the big ones. this result is encouraging as it indicates that the outbreak of epidemic could be delayed, if one could break down the osn traces into lots of small communities by removing some special nodes. previous work has suggested that removing central nodes is an effective way to delay the epidemic outbreak. this conclusion is somewhat inconsistent with our aforementioned results, since some central nodes have relatively low importance in communities and removing them does little damage to the community structure. therefore, we conjecture that it may be inefficient to suppress the epidemic spreading by removing central nodes. to validate this, we classify nodes into different categories according to their global and local importance. specifically, we select as high local importance nodes (hot) with the top 10% nodes that have the highest local importance with respect to a community, and the rest as low local importance nodes (lot). in addition, we define a central node as a node that belongs to the top 10% nodes with the highest importance in the whole network, the remaining nodes are called non-central nodes (similar selection/definition has been used in ref. [43] ). our basic idea here is to understand the role of each kind of node in epidemic spreading. we first calculate the epidemic spreading time for each trace including all nodes. we then repeat the same experiment by removing each of the four node categories (we remove the same amount of nodes for each category in order to make a fair comparison). fig. 6 presents the results. the y-axis denotes the immunization efficiency compared to the base case (the case including all nodes), i.e., higher bar means higher efficiency. the first and counter-intuitive phenomenon is that hot nodes, instead of the central, play a big role in epidemic spreading (as shown in fig. 6(a) ). compared to removing the central nodes, the immunization efficiency increases 50% on average when the hot nodes are removed. more interestingly, we observe that non-central hot nodes are responsible for most of the epidemic spreading in opportunistic social networks ( fig. 6(b) and (c) ). removing them improves the immunization efficiency by 25%-150% at all traces. in contrast, removing central lot nodes shows a more limited improvement. this phenomenon experimentally validates that it is not ''the more central, the better'' for the implementation of control strategy. we next explore the reason behind this phenomenon. section 6.2 indicates that the spreading speed of epidemic heavily depends on the temporal communities. as a result, even though hot nodes have on average lower global importance than the central, they do great damage to the community structure when removed, and thus help to suppress the epidemic. the goal of this section is to formally characterize the relationship between the cohesive community and node's importance. we generally use the community density to denote its cohesion. let d(c i ) represent density of community i, we have the following theorem (see appendix for proof). we use this equation to evaluate the impact of removing nodes on community density, and plot the changing of community density in fig. 7 , where the y -axis denotes the ratio of community density after some nodes are removed from a community over the initial density of that community. we find that community density is heavily dependent on node's importance. however, there exists a large difference of impact between the local and global importance of nodes. removing in rank order the most important to the least nodes in a community leads to a faster decline in community cohesion. in contrast, removing first the central nodes will shrink the community but with a slower speed. taken together, hot nodes appear to be crucial for implementing the immunization strategy, because of their large impact on community structure when removed. in this paper, we improve our understanding of immunization strategy on epidemic spreading in opportunistic social networks. we observe that a temporal community structure helps to control the epidemic spreading. this phenomenon is encouraging as it indicates that the outbreak of epidemic could be delayed, if we could further break down the osn traces into lots of small communities by removing some special nodes. motivated by this observation, we separate nodes into different behavioral classes from a community viewpoint. we show that hot nodes can remarkably suppress the epidemic spreading when removed. more interestingly, we find that non-central hot nodes are responsible for most of the epidemic spreading. these results reveal a counter-intuitive conclusion: it is not ''the more central, the better'' for the implementation of control strategy. for any t ∈ t 2 , since t ̸ = off i (note that off i ∈ t 1 and t 1 ∩ t 2 ≡ ∅), we have h(t) = 0. hence, = h(t ) + e −1 w uv (t − 1). we first give the following lemma. proof. from the clustering process mentioned above, we know that the centroid m i (m 1i , m 2i , . . . , m ni ) can approximately represent the line formed by nodes within the ith community (please refer to eq. (11) p. 7). on the other hand, the virtual centroid vector m i should be close to eigenvector x i . this is mainly because m i ≈m i =   u⊂c i α ui  /n i , as α ui is the dominant part of α u . hence,m i locates in the line formed by the eigenvector x i . we get the conclusion as different eigenvectors are linearly independent. we now prove eq. (9). let variable e u denote the event measuring global importance of node u (i.e., g u ) in the whole network. let variable e i u denote the event that measures node u's local importance in a community i. we have p(e u ) = p(measuring g u in the whole network) = p(measuring g u across all communities) p(e i u )/ * from the lemma 2 * /. that is, measuring node u's global importance is equal to first measuring its local importance in different communities, and then put all the components together. proof of theorem 4. consider the division of an unweighted graph u into k non-overlapped communities c 1 , c 2 , . . . , c k . let v i = (v 1i , v 2i , . . . , v ni ) be the index vector of community c i , and v ui is equal to 1 if node u belongs to c i and 0 otherwise. for community c i , its density can be expressed as d(c i ) = number of edges in c i number of nodes in c i = v t dtn: an architectural retrospective opportunities in opportunistic computing pocket switched networks and human mobility in conference environments socially-aware routin for publish-subscribe in delay-tolerant mobile ad hoc networks supporting cooperative caching in disruption tolerant networks data delivery properties of human contact networks impact of human mobility on opportunistic forwarding algorithms exploiting social interactions in mobile systems small-world behavior in time-varying graphs a reaction-diffusion model for epidemic routing in sparsely connected manets networks of strong ties bubble rap: social-based forwarding in delay-tolerant networks ring vaccination immunization of complex networks efficient local strategies for vaccination and network attack finding a better immunization strategy hub nodes inhibit the outbreak of epidemic under voluntary vaccination suppressing epidemics with a limited amount of immunization units centrality in social networks conceptual clarification tearing down the internet overlapping communities in dynamic networks: their detection and mobile applications proceedings of the thirteenth acm international symposium on mobile ad hoc networking and computing finding community structure in networks using the eigenvectors of matrices impact of strangers on opportunistic routing performance social network analysis for routing in disconnected delay-tolerant manets 2010 proceedings ieee infocom multicasting in delay tolerant networks: a social network perspective finding rumor sources on random graphs on the levy-walk nature of human mobility efficient routing in intermittently connected mobile networks: the multiple-copy case performance modeling of epidemic routing slaw: self-similar least-action human walk time-aggregated graphs for modeling spatio-temporal networks maintaining time-decaying stream aggregates power law and exponential decay of intercontact times between mobile devices principal component analysis spectral graph theory community detection in graphs finding community structure in very large networks uncovering the overlapping community structure of complex networks in nature and society he, k -means clustering via principal component analysis inferring social ties across heterogenous networks matrix perturbation theory we acknowledge the support of the national natural science foundation of china under grant nos. u1404602, u1304607, the science and technology foundation of henan educational committee under grant nos. 14a520031, 14a520068. we also wish to thank the crawdad archive project for making the dtns traces available to research community. proof of theorem 1. let us split the interval [0, t ] into two disjoined parts t 1 and t 2 , where key: cord-007749-lt9is0is authors: preston, nicholas d.; daszak, peter; colwell, rita r. title: the human environment interface: applying ecosystem concepts to health date: 2013-05-01 journal: one health: the human-animal-environment interfaces in emerging infectious diseases doi: 10.1007/82_2013_317 sha: doc_id: 7749 cord_uid: lt9is0is one health approaches have tended to focus on closer collaboration among veterinarians and medical professionals, but remain unclear about how ecological approaches could be applied or how they might benefit public health and disease control. in this chapter, we review ecological concepts, and discuss their relevance to health, with an emphasis on emerging infectious diseases (eids). despite the fact that most eids originate in wildlife, few studies account for the population, community, or ecosystem ecology of the host, reservoir, or vector. the dimensions of ecological approaches to public health that we propose in this chapter are, in essence, networks of population dynamics, community structure, and ecosystem matrices incorporating concepts of complexity, resilience, and biogeochemical processes. definitions of one health have varied among different authors and institutions, but a defining central tenet is that a one health approach brings a holistic understanding of health. this broader view includes human medicine, veterinary medicine, and an understanding of the ecological context of health (which we call 'ecohealth'). to date, one health approaches have tended to focus on closer collaboration among veterinarians and medical professionals, but remain unclear about how ecological approaches could be applied or how they might benefit public health and disease control. in this chapter, we review ecological concepts, and discuss their relevance to health, with an emphasis on infectious diseases, notably emerging infectious diseases (eids). nearly two-thirds of eids are zoonotic, and a majority of those (72 %) originate in wildlife (anderson et al. 2004; cleaveland et al. 2001; daszak 2000) . diseases are considered 'emerging' if they are identified as occurring in a new geographic area, expanding their incidence rapidly, displaying novel genetic code, or moving into humans for the first time. the most important are pandemics, those that become established in humans and spread internationally. pandemics tend to be zoonotic, foodborne, or antimicrobial resistant pathogens, and their emergence and spread is overwhelmingly a result of changes in human demography (e.g. travel, population growth), behavior (e.g. drug use), economic activity (e.g. agricultural intensification), or anthropogenic changes to the environment (e.g. land-use change, climate change) (weiss and mcmichael 2004; jones et al. 2008) . the interactions among these underlying drivers and the dynamics of pathogens in wildlife, livestock, and people are a key focus of studies of the ecology of infectious diseases. ecology emerged from natural history and rose to prominence as a scientific discipline in the late nineteenth century as the 'study of the interactions of organisms with their environment' (haeckel 1869) . while originally a descriptive science, the theories of adaptation, evolution, and speciation rapidly became central to the field, and led to increasingly analytical approaches (lawton 1999) . over the past few decades, ecologists have analyzed data from field observations, laboratory studies, and large-scale field experiments to describe the structure and dynamics of populations, their interactions within communities, and the complexity of ecosystems. in this chapter, we build on the work of wilcox and jessop (2010) and last (1998) , adding an ecosystem network perspective to describe how ecological approaches can be focused on infectious diseases. we focus on three components: population, community, and ecosystem ecology. population ecology is the study of the population dynamics of a species with relevant metrics of density, natality, mortality, immigration, and emigration (hall 1988; murray 1999) . population dynamics are generated through competition, predation, parasitism, and the distribution of species. community ecology describes the clustering of populations of species into communities and the processes that dictate composition and diversity. pertinent community metrics are similarity, continuity, species, and genetic diversity. ecosystem ecology is the study of biotic and abiotic components of ecological systems, their biophysical interactions, and the flow of energy and materials (lindeman 1942; odum 1969; cook 1977) . the metrics for ecosystems include state, rates, and productivity. ecosystems provide the framework for organization of species and resource compartments, and modulate rates and dynamics of functions, processes, and services. in modern ecological approaches, a network perspective can be used to describe interactions among ecosystem components, with populations referred to as nodes, links between nodes in a community as edges, and the overall environment and abiotic components as an ecosystem matrix (fig. 1) . this framework complements a shift in ecosystem thinking from structures and hierarchies, to networks and webs. while the concepts in this chapter are presented in the context of wildlife and emerging infectious diseases, they are generalizable to diverse ecosystem interactions. traditional views of ecosystems were focused on the concept of directional succession, whereby ecosystems developed along a predictable pathway to a climax system (e.g. mature deciduous forest) (clements 1916; gleason 1939) . in reality, ecosystems are dynamic and complex aggregations of communities continually adapting to internal and external influences. rarely are they stable or at fig. 1 diagram illustrating the ecosystem components described in the text: a node is a population of organisms; edges are links between nodes in a community; and the overall environment including abiotic components is the ecosystem matrix. nodes are structured vertically into trophic levels and horizontally along an environmental gradient equilibrium, as described by static representations of food chains, trophic guilds, and species dominance. moreover, they demonstrate non-equilibrium dynamics in a mosaic of patches shifting among stable states when disturbed. the complex structure of ecosystems has long frustrated efforts to forecast and predict their behavior, yielding models of resilience, complexity, and chaos. 3 ecosystems: abundance, structure, and flow historically, public health has focused on the dynamics and structure of human populations-only a single node within the context of global ecosystems. holistically, human health can best be considered in the context of other organisms within a network of populations, communities, and ecosystem interactions. infectious diseases within a one health context require an additional dimension, namely the natural environment as the habitat of the disease agents themselves, examples of which include water borne diseases. population ecology focuses on the dynamics of an individual species in a defined area, where the malthusian growth model is a central theory. however, wildlife populations are not static, nor is their growth linear. moreover, they display complex cycles and populations evolve from interactions, including competition, predation, herbivory, and mutualism, while demonstrating stochastic dynamics and lagged responses to disturbance. because knowledge of wildlife populations still is incomplete, there are many species for which historic data are lacking or routine monitoring not yet possible. furthermore, coverage varies across geographic regions, taxonomic groups, size, abundance, and economic or social values. despite the fact that most eids originate in wildlife, few studies account for the population dynamics of the host, reservoir, or vector, in contrast to studies of human populations and demographics. this uncertainty concerning wildlife health presents a threat both to domestic animals and human populations. at a minimum, those infectious disease agents closely linked to human health should be identified and subjected to intense study, e.g., those that incubate and spread disease or provide ecological services such as disease regulation and/or vaccine discovery. identifying these key species helps set priorities for routine surveillance, as well as uncovering as yet unknown species that present a threat or cure. fluctuations in host and vector abundance engender a variable risk distribution for disease transmission. some species are unique in their proximity to human physiology (e.g. primates and wild pigs) or in their expansive ranges (e.g. birds and bats), posing unique threat as integrators, spreaders, and laboratories for recombination and mutation of disease pathogens (daszak 2000) . wildlife population ecology can be employed to improve global health models, but within limitation. populations are difficult to define and species-based definitions are generally inadequate. those that are naturally or artificially isolated often exhibit distinct behaviors and present differential risks (levins 1968). populations are a continuum, where factors such as age, sex, and size can influence risk of disease transmission, especially where distribution of the agent is not uniform. thus, it is simplistic at best to consider population dynamics in isolation from the community structure and ecosystem matrix. community ecology describes an assemblage of nodes and their interactions, or edges. the contributions of individual populations can be characterized by employing network metrics, an example of which would be a high degree of connectivity that identifies critical, keystone nodes influencing the structure of the system. it should be noted that communities can demonstrate both equilibrium and non-equilibrium dynamics. characterizing biodiversity is fundamental to community ecology. it is also one of the more widely reported and popular concepts. biodiversity varies across spatial scales and describes both intraspecific or genetic diversity of a node, as well as diversity of nodes described in terms of richness, abundance, and evenness (bisby 1995; jost 2007; whittaker 1972) . food webs represent a central concept in ecology, being employed to model community structure as complex hierarchies of nodes (lindeman 1942; elton 2001; forbes 1887; hairston et al. 1960 ). inter-node interactions (edges) among consumers and resources form the backbone of food-web networks and the nodes can be structured into trophic levels, or functional groups, such as top predators (borrvall and ebenman 2006; finke and denno 2005) , mesopredators (elmhagen and rushton 2007), herbivores, and primary producers. edges are generally unidirectional, but can flip during the life history of an organism when lower trophic levels prey on juveniles of higher trophic levels. single trophic food webs are the simplest (tilman 1982 ), but few real-world examples exhibit those dynamics, with multi-trophic perspectives more realistic, albeit complex (cohen 1978; deangelis 1992; polis and winemiller 1996) . predator-prey relationships are dominant in representations of the structure of trophic hierarchies, along with the influences of co-evolution, mutualism, autotrophy, herbivory, competition, genetics, and speciation. food webs are structured from top and bottom. top-down control of food webs can occur via predation and resource consumption by consumers, influencing community size structure. at the same time, bottom-up mechanisms operate via abundance, availability, and edibility of primary producers (autotrophs) and secondary producers (herbivores). structural dynamics of a system, i.e., arrangement of nodes and edges, can influence the magnitude and variability of community response to disturbance. endogenous (internal) pressure from one node can reorganize the entire system. food webs are often portrayed with linear connections among trophic levels; however, responses to exogenous (external) disturbance can expose complex nonlinear dynamics and feedback loops. unlike characterizations such as a balance of nature or tree of life, it is apparent from food-web manipulations that ecological networks are complex systems encompassing hierarchies, webs, nested systems, cycles, and flows (carpenter and kitchell 1996; scheffer and carpenter 2003) . when ecology is incorporated into public health endeavors, the scope is frequently limited to distribution and abundance of individual nodes. studying the population dynamics of disease hosts and vectors clearly is important if zoonotic disease emergence is to be understood, but populations need to be studied in the context of edges defining their interactions with other nodes. indeed, a community approach to disease emergence can reveal important nodes and interactions that differ from those identified in population analyses. for example, some nodes, such as keystone species, may be disproportionally important to the system due to strong connectivity or high centrality. superspreaders are highly connected and rapidly disseminate disease through a network. identifying and monitoring the keystone species, superspreaders, and nodes that regulate host and vector abundance is important in disease prevention and control. trophic cascades regulate host abundance when changes at one trophic level cascade through the food web. for example, when a predator population collapses, regulation of the disease is reduced if the disease host or vector is thereby released from control by predation. removing predators directly relieves pressure on prey abundance and may also alter physiological stress, behavior (bakker et al. 2005) , and morphology (werner and peacor 2003) of their prey. clearly, both host and predator require monitoring in such circumstances. inter-species competition affects abundance, evolution, diversity, and pathogenicity of a disease agent. these processes can be tightly coupled to their pathogen hosts and, in turn, the community dynamics of the system. hence, the invasion of an exotic species, triggered by wildlife trade, transportation, or climate change for example, could cause food webs to reorganize thereby altering the probability of disease emergence. on one hand, the introduction of a species like the tiger mosquito (aedes albopictus), which is an aggressive disease vector, can alter the conditional (binary) probability of contracting certain vector-borne diseases. on the other hand, invasions by suboptimal hosts can 'dilute' disease risk. invasions can also introduce boom and bust dynamics, destabilizing systems and tipping native populations into irreversible alternate states. invasive species also diverge genetically from their original populations through isolation and founder effects, contributing to ''waves'' of disease occurrence. spatiotemporal variance in food webs is particularly acute for migratory populations, where resource consumption changes with habitat and the effect on nodes in one system can be transferred to another. in effect, migration provides a unique opportunity for populations and communities to exchange pathogens. in these scenarios, mapping distributed food webs could help identify pathways for disease transmission. food web and community network analyses introduce a high degree of complexity to mathematical and statistical models of systems. furthermore, it is difficult to determine accurately the trophic position of individual nodes in food web models. while advances in stable isotope analysis, fatty acids, and ecological stoichiometry help determine trophic position relative to other nodes in the community, as well as composition of diet; isotopic measurements often have location-specific limitations, whereby values are relative to local autotrophic production in the system as influenced by external subsidies. thus, it is difficult to draw meaningful comparisons among food webs. what is required is a method that generalizes models and captures topological position and functional importance of networks without a food web-specific bias (olff et al. 2009 ). by using food-web manipulations, it has been possible to demonstrate biogeochemical processes play an important role in structuring communities (carpenter and kitchell 1996; scheffer and carpenter 2003) . so, although community ecology considers both nodes and the edges that connect them, these systems must ultimately be studied in the context of their environment or ecosystem matrix. ecosystem ecology encompasses biophysical mechanisms regulating ecosystem metabolism across both biotic and abiotic compartments, this includes ecological function, physiological processes, populations and communities, resource availability, nutrient cycling, and connections among systems. the connections, flows, and cycles affecting the life history of an organism are highlighted, including materials of composition and their life cycle. traversing networks that incorporate abiotic pathways may help map these connections, a useful example of which is the carbon cycle, with biotic and abiotic compartments through which carbon can flow, sequester, or transform. the ecosystem matrix is a spatiotemporal mosaic that provides background structure for ecosystem networks. it is a complex system with unpredictable dynamics, including bidirectional relationships among organisms that extract, modify, and release resources into their surroundings. the physical-chemical conditions that surround an organism regulate metabolism as they consume resources and generate waste (begon et al. 1996) . ultimately, resource flows influence system dynamics of populations and communities. biogeochemistry describes the flow of matter, such as nutrients and toxins, through an ecosystem matrix, including processes such as decomposition and decay. it spans biotic and abiotic compartments through biologically mediated chemical cycling of nutrients. microorganisms play a critical role in the availability of resources by decomposing waste and processing mineral components, essentially driving nutrient cycles in ecosystems. temperature, salinity, ph, and redox generate gradients regulating distribution of organisms and their metabolism, in effect the availability of resources (schlesinger 1991) . availability of resources, notably nutrients, is related to population dynamics, e.g., the life cycle of organisms, and community structure, such as food webs. phosphorus, for example, is a commonly limiting nutrient in freshwater lakes that constrains productivity. while phosphorus can be introduced through external subsidies, the ecological community can influence availability of the resource internally, thereby altering community composition. certain zooplankton, for example, sequester phosphorous for their reproductive needs to the extent that they limit growth and abundance of competing species. these competitive interactions will ultimately affect water quality and physical characteristics, such as transparency and temperature profiles (elser et al. 1998) . physical-chemical conditions of the matrix drive enzymatic processes and affect habitat suitability and niche structure in ecosystems. olff et al. (2009) proposed an additional horizontal ecological-stoichiometry axis to supplement the vertical trophic axis in food webs (fig. 1) . these frameworks build upon research in marine systems (azam et al. 1983 ) and terrestrial systems (bardgett 2005; wardle 2002 ) that emphasize a 'dual foundation' for food webs based on both organotrophs and autotrophs. the landscape provides the physical structure for the ecosystem matrix, including habitat niches for organisms. physical connectivity (e.g., wildlife corridors) can dictate the distribution and dispersal of organisms. as chemicals transition among media such as water, the atmosphere, and land they are modified in ways that alter their availability. landscapes support a mosaic of abiotic conditions that determine the phase space of abiotic resources, including chemical state and suitability for uptake. ecosystem engineering is the process whereby organisms influence the biophysical feedback mechanisms that structure their habitat. this can fundamentally alter ecosystem function from local to global scales (e.g., beaver dams to forest respiration). ecosystem engineers influence the matrix in which they live, rendering it more or less habitable for themselves and their competitors (jones et al. 1994; wright and jones 2006) . in australia, for example, a rabbit fence was built to confine expansion of invasive rabbits, altering patterns of herbivory that, in turn, affected evapotranspiration and regional precipitation. ultimately, this altered the microclimate and suitability of the environment for multiple organisms and processes (lyons et al. 1993) . feedback loops and cycles add complexity and nonlinearity to the system. they can lead to emergence of alternate stable states, with abrupt tipping points, where shifts to alternate regimes modify function and introduce chaos (scheffer and carpenter 2003; carpenter et al. 2008; huisman and weissing 1999; van de koppel et al. 2001 rietkerk 2004 ). ecosystem processes influence human health directly via interaction with toxins and nutrients, and indirectly via regulation of disease cycles and intensity. bioaccumulation of toxins throughout food webs poses a health threat, an example of which is dichlorodiphenyltrichloroethane (ddt), effective in controlling disease vectors but endangering animal and human health by its bioconcentration. ecosystems provide services such as sequestering toxins in wetlands and sediments, but these processes often are fragile and their disruption results in system-wide impacts. nutrient enrichment, or eutrophication, of lakes has been directly correlated with prevalence of aquatic disease agents (johnson and carpenter 2008) . regulation of disease is an indirect ecosystem service. however, perturbations of ecological systems can alter the regulatory process and unleash novel pathogens, demonstrated vividly by lyme disease and the dilution effect (ostfeld and keesing 2000) . in today's world, the biosphere is undergoing unprecedented anthropogenic ecosystem engineering, ranging from land conversion to ecological simplification and extensive biogeochemical change. the impact of these alterations spans ecosystem nodes, edges, and pathways with profound ramifications for ecosystem services and resilience. as the modified ecosystems and regimes emerge, their potential to impact human health must be understood. investigators have developed hotspot maps to characterize risk of disease emergence (jones et al. 2008 ) and threats to biodiversity (mittermeier et al. 1999 ). however, coupled socio-ecological models of risk have yet to be developed. as a network evolves, dynamic risk mandates continuous adaptive iterations to monitor emerging threats. the major drivers are direct anthropogenic land-use change, e.g., deforestation, agricultural expansion, habitat destruction, and complex indirect feedback from anthropogenic impact affecting biogeochemical cycles, e.g., nutrient cycles and climate change. the phase space for ecosystems evolves as communities are restructured. emerging systems are unstable and exhibit complex non-equilibrium dynamics and alternate states. getting ahead of an epidemic curve (fig. 2 ) requires more than simply aggregating concepts of populations, communities, or ecosystems (schoener 1986). the changing network properties of the system must be monitored, along with indicators of resilience and leading indicators of collapse, if how a major disturbance is propagated or dampened through the system is to be understood. failing to comprehend the emerging topology of coupled socio-ecological systems presents a challenge of knightian uncertainty, where risk is immeasurable, and panarchy, where cause and effect are disproportionate. in these instances, disturbances can become amplified through emerging network dynamics. changes like habitat destruction and land-use/land-cover change affect the physical structure of the environmental matrix and have profound impacts on ecosystems. they jeopardize critical services, e.g., disease regulation and other, as yet unknown, ecosystem services. for example, minor disturbances from deforestation in the peruvian amazon exposed frontier effects, whereby cases of infectious disease peaked with human encroachment, but re-stabilized as humans and pathogens adapted (olson 2010) . it is difficult to anticipate consequences of ecosystem encroachment since the dynamics are highly variable and outcomes unpredictable. however, in this case the system exhibited altered contact and transmission rates, as well as improved habitat for malaria vectors. genetic diversity dictates adaptability. we should anticipate widespread physiological, morphological, and behavioral adaptations with land-use change, and inevitable consequences for disease emergence. geography and landscapes have long been known to play a critical role in disease, indeed the earliest disease maps by finke and humboldt date from the early victorian period (tylianakis et al. 2007 ). hence, we can anticipate that landscape changes will fundamentally alter existing ecosystem networks. changes at the landscape level, such as isolation due to habitat fragmentation, counter the trend of more highly connected systems. however, an increase in isolated systems may lead to increased genetic drift and introduce new vulnerabilities from founder effects and genetic bottlenecks. these refugia and biological corridors become hotspots for disease transmission as organisms are crowded out of the human landscape and stressed by reduced resource availability. the green revolution brought widespread alterations to global biogeochemistry. accompanying changes in agricultural practice altered the agrarian landscape-an important habitat in terms of both surface area and productivity. in this context, biogeochemistry is particularly relevant to health, given anthropogenic modification of global processes. following world war ii, the industrial efficiencies of bomb factories were adapted to production of agricultural fertilizers. as a consequence, ecological stoichiometry was radically altered. in geological time, this is a short-term experiment and it is not yet clear what the long-term implications will be for global-scale ecosystem processes. indeed, the fertilizers manufactured are typically nutrients that limit productivity. hence it is inevitable that these will impact abundance and distribution of organisms, including disease hosts and vectors. in 2004, researchers convened by the wildlife conservation society (wcs) coined the term ''one world-one health,'' at a time of increasing global interest in connections between emerging infectious diseases and environmental stewardship. what has become the one health movement calls for interdisciplinary and crosssectoral approaches to disease prevention, surveillance, monitoring, control, and mitigation, as well as environmental conservation. the goal of improving lives, with integrated health approaches, has been embraced by veterinary, medical, public health, agricultural, and environmental health organizations in the one health initiative. this movement has helped integrate ideas from environmental, veterinary, and agricultural science with public health, and has been successful in bringing broader attention to socio-economic influences on human and animal health. ecohealth emerged in the 1990s from an interest in connecting ecosystems and health through the original work of the international development research council (idrc) (lebel 2003) . the ecohealth community has since grown to include researchers from a broad range of disciplines, all of whom share an interest in the intersection of ecology and health. humans must be included in ecohealth models and wildlife in one health models. otherwise, our understanding of disease risk cannot be complete. conceptual and mathematical models from the social sciences and public health can usefully be combined with those developed for agriculture and ecology. thus, the coupled socio-ecological models will allow characterization of emerging systems, with the challenge of capturing non-linear complex behaviors. in conclusion, the dimensions of ecological approaches to public health that we propose in this chapter are, in essence, networks of population dynamics, community structure, and ecosystem matrices incorporating concepts of complexity, resilience, and biogeochemical processes. 6 case studies disease emergence can strongly impact the abundance and diversity of wildlife populations. the dynamics of wolf and moose populations on isle royale is a classic case study. the single predator-prey dynamic is unique in its simplicity and is one of the longest studied. the system has never achieved equilibrium and cannot be explained either by top-down control of moose abundance by wolf predation or bottom-up control of wolf abundance by moose availability (vucetich et al. 2011) . moreover, the system exhibits both influences, with episodic disturbances from disease and climate. the introduction of parvovirus by a domestic dog caused the wolf population to crash in 1980. subsequently, the moose population exploded which impacted balsam fir, their winter food. consequently, in 1996 the moose population crashed during a harsh winter. moose are mega-herbivores (owen-smith 1988) that grow sufficiently large to escape predation from wolves, so wolves are only able to prey on the young and infirm. the moose are vulnerable to ticks, which contributes to poor body condition and makes them more vulnerable to wolf predation. ultimately, the dynamics of an invasive disease agent influenced community structure, as did predation, resource availability, parasitism, abiotic conditions, and genetic diversity. these events challenged the certainty of predictive models of population dynamics and community structure. this case study illustrates the difficulty of modeling eids in relation to ecosystem dynamics. correlation of the incidence and intensity of cholera, primarily a waterborne disease, with environmental parameters, e.g., temperature, salinity, nutrients, conductivity, and other factors, including rainfall, extreme weather events, and with access or lack of access of the populace to safe water and sanitation has been studied by many investigators over the past 20 years. the observation of colwell and huq (1994) that the causative agent of cholera, vibrio cholerae, is a commensal of zooplankton, predominantly copepods, led to examination of the annual incidence of cholera in bangladesh. controlling factors were determined to be water temperature and salinity, but also relationship to the annual cycle of plankton (colwell 1996) . the annual bimodal peaks of cholera in bangladesh (spring and fall) correlated with plankton blooms in the spring and fall, with copepods proving to be a vector for v. cholerae (de magny et al. 2008) . further studies, employing satellite remote sensing to monitor chlorophyll, sea surface temperature, and sea surface height in the bay of bengal, provided useful models of the relationship of cholera and climate (lobitz et al. 2000) . refinement of the models and detailed analyses of the river system of the ganges delta led to further and more detailed characterization of the drivers of the spring and fall cholera outbreaks, namely rainfall, river height and flow, and salinity (jutla et al. 2010) . cholera, and very likely other waterborne diseases, can be tracked to their environmental source (jutla et al. 2010) . thus, ecology of the v. cholerae proved to be key in understanding incidence of the disease (colwell et al. 1977; lipp et al. 2002) . based on ecology and evolution of v. cholerae, predicting cholera incidence in various regions of the world is promising. in fact, preliminary results demonstrate effectiveness of regional hydroclimatology combined with satellite data for cholera prediction models for coastal regions in south asia and sub-saharan africa, providing lead time to strengthen intervention efforts before the seasonal outbreaks of cholera occur in these endemic regions. the role of wildlife and livestock in the transmission of infectious agents to humans has been recognized for decades (karesh et al. 2012 ). zoonoses such as rabies remain endemic in wildlife and continue to spillover to people as they have done for probably centuries. however, the importance of wildlife from which pathogens are transmitted has become critical in the era of eids. the majority of eids are zoonotic and originate in wildlife (jones et al. 2008 ). pathogens such as nipah virus (niv), sars coronavirus, and ebola virus originate in wildlife species from tropical or subtropical regions, where human population density is high, and rapid changes to the environment drive increasing risk of spillover. the role of ecology in understanding patterns of zoonotic disease emergence is significant and ecologists need to be integrated into one health efforts. traditional epidemiological investigations of emerging zoonoses focus on the network of human cases affected by an eid, tracing back to origins and examining risk behavior. unfortunately, studies tend to view the role of wildlife as a risk factor for spillover and rarely involve detailed studies of wildlife population dynamics. for example, fruit bats were identified as the reservoir of nipah virus (niv) in malaysia and are, therefore, a risk factor for its emergence elsewhere. in malaysia, niv first emerged in pig farms close to fruit bat habitats. it was hypothesized that the intensive nature of the farms were the trigger for its emergence (chua et al. 2000 ). an alternative hypothesis was that bats brought the virus into the country from nearby sumatra following forest fires there during a severe el nino event (chua et al. 2002) . a collaborative group including wildlife biologists, veterinarians, virologists, mathematical modelers, physicians, and epidemiologists collected and analyzed data on the hunting of bats, pig population dynamics at the index farm, large-scale movement of fruit bats and the capacity of the virus to survive in urine, saliva, and fruit juices (pulliam et al. 2011) . this work was able to demonstrate that the continued presence of bats in the index farm region, and the particular dynamics of intensive production allowed the virus to invade the pig farm, produce a partially immune population of pigs, then re-invade to create a long-term exposure of pig workers, and the large-scale outbreak observed (pulliam et al. 2011) . early epidemiological studies of the emergence of niv in bangladesh identified drinking of date palm sap as a risk factors, and suggested that this might be due to contamination of the collecting pots by fruit bats (luby et al. 2006) . subsequent investigations involved wildlife biologists who used infrared cameras to confirm contamination in the field (khan et al. 2011) , and conducted longitudinal surveillance of bat populations to examine whether seasonal patterns exist that could be used to estimate risk. these studies demonstrate the value of analyzing wildlife reservoir ecology in tandem with epidemiological and specific disease investigations. such an approach will become increasingly important, given the disproportionate rise in eids originating from wildlife over the last few decades (jones et al. 2008) . emerging infectious diseases of plants: pathogen pollution, climate change and agrotechnology drivers the ecological role of water-column microbes in the sea experimental manipulation of predation risk and food quality: effect on grazing behaviour in a central-place foraging herbivore ecology: individuals, populations and communities. blackwell science, oxford bisby fa (1995) characterization of biodiversity early onset of secondary extinctions in ecological communities following the loss of top predators leading indicators of trophic cascades nipah virus: a recently emergent deadly paramyxovirus anthropogenic deforestation, el nino and the emergence of nipah virus in malaysia diseases of humans and their domestic mammals: pathogen characteristics, host range and the risk of emergence plant succession; an analysis of the development of vegetation. carnegie institution of washington, washington cohen je (1978) food webs and niche space environmental reservoir of vibrio cholerae the causative agent of cholera vibrio cholerae, vibrio parahaemolyticus, and other vibrios: occurrence and distribution in chesapeake bay raymond lindeman and the trophic-dynamic concept in ecology emerging infectious diseases: bridging the gap between humans and wildlife environmental signatures associated with cholera epidemics trophic control of mesopredators in terrestrial ecosystems: topdown or bottom-up? stoichiometric constraints on food-web dynamics: a whole-lake experiment on the canadian shield predator diversity and the functioning of ecosystems: the role of intraguild predation in dampening trophic cascades the lake as a microcosm the individualistic concept of the plant association ueber die fossilen medusen der jura-zeit community structure, population control, and competition an assessment of several of the historically most influential theoretical models used in ecology and of the data provided in their support biodiversity of plankton by species oscillations and chaos influence of eutrophication on disease in aquatic ecosystems: patterns, processes, and predictions organisms as ecosystem engineers global trends in emerging infectious diseases partitioning diversity into independent alpha and beta components tracking cholera in coastal regions using satellite observations the ecology of zoonoses: their natural and unnatural histories use of infrared camera to understand bats' access to date palm sap: implications for preventing nipah virus transmission are there general laws in ecology health: an ecosystem approach. international development research centre, ottawa levins, r (1968) evolution in changing environments effects of global climate on infectious disease: the cholera model climate and infectious disease: use of remote sensing for detection of vibrio cholerae by indirect measurement foodborne transmission of nipah virus land-atmosphere interaction in a semiarid region: the bunny fence experiment hotspots: earth's biologically richest and most endangered terrestrial ecoregions. conservation international, cemex sa de cv, agrupaciã³n sierra madre, mexico city murray bg (1999) can the population regulation controversy be buried and forgotten the strategy of ecosystem development parallel ecological networks in ecosystems deforestation and malaria in mã¢ncio lima county biodiversity and disease risk: the case of lyme disease megaherbivores: the influence of very large body size on ecology agricultural intensification, priming for persistence and the emergence of nipah virus: a lethal bat-borne zoonosis self-organized patchiness and catastrophic shifts in ecosystems catastrophic regime shifts in ecosystems: linking theory to observation mechanistic approaches to community ecology: a new reductionism? habitat modification alters the structure of tropical host-parasitoid food webs do alternate stable states occur in natural ecosystems? evidence from a tidal flat scale dependent feedback and regular spatial patterns in young mussel beds predicting prey population dynamics from kill rate, predation rate and predator-prey ratios in three wolf-ungulate systems communities and ecosystems: linking the aboveground and belowground components a review of trait-mediated indirect interactions in ecological communities evolution and measurement of species diversity in: frumkin h (ed) environmental health: from global to local the concept of organisms as ecosystem engineers ten years on: progress, limitations, and challenges acknowledgments we thank alexa frank (ecohealth alliance) and norma brinkley (university of maryland) for invaluable assistance in the preparation of this chapter.the human environment interface key: cord-351785-d35kqobp authors: dewitt, emily; gillespie, rachel; norman-burgdolf, heather; cardarelli, kathryn m.; slone, stacey; gustafson, alison title: rural snap participants and food insecurity: how can communities leverage resources to meet the growing food insecurity status of rural and low-income residents? date: 2020-08-19 journal: int j environ res public health doi: 10.3390/ijerph17176037 sha: doc_id: 351785 cord_uid: d35kqobp the burden of obesity disproportionately influences poor health outcomes in rural communities in the united states. various social and environmental factors contribute to inadequate food access and availability in rural areas, influencing dietary intakes and food insecurity rates. this study aims to identify patterns related to food insecurity and fruit and vegetable consumption within a snap-eligible and low-income, highly obese rural appalachian community. a prospective cohort was implemented to identify gaps in resources addressing obesity and food insecurity challenges. sas 9.4 software was used to examine differences in dietary intakes and shopping practices among snap participants. among participants (n = 152), most reported an annual household income less than usd 20,000 (n = 90, 60.4%), 29.1% reported food insecurity, and 39.5% reported receiving snap benefits within the last month. the overall mean fv intake was 3.46 daily servings (95% ci: 3.06–3.91) among all participants. snap participation was associated with food insecurity (p = 0.007) and those participating in snap were two times more likely to report being food insecure (or = 2.707, 95% ci: 1.317, 5.563), relative to non-participants. these findings further depict the need for intervention, as the burden of food insecurity persists. tailoring health-promoting initiatives to consider rurality and snap participation is vital for sustainable success among these populations. the burden of obesity and related chronic diseases disproportionately affects rural communities in the united states (u.s.) more so than their urban counterparts [1] . theories of social disorganization suggest that the intersection between community structure, such as poverty, socioeconomic status (ses), and residential instability, can result in a void of health promoting culture, infrastructure, and efficacy [2, 3] . previous insights have shown disparaging differences between urban and rural areas on mortality, chronic disease, and screening rates [3, 4] . residents' limited knowledge of health promoting behaviors may lead to poor health literacy and unhealthy lifestyle behaviors, including poor dietary intakes and sedentary physical activity levels [5] [6] [7] . thus, the degree of rurality among geographic areas throughout the u.s. influences the numerous barriers rural communities face and, consequently, their morbidity and mortality rates. among rural populations, myriad factors affect obesity rates, though fruit and vegetable (fv) intakes are of great influence and few u.s. adults are meeting recommended amounts [8] . this is particularly true in rural communities, where adults exhibit higher obesity prevalence and are less likely to meet daily fv recommendations due to various social and environmental factors [1, 9] relative to their urban counterparts. in addition to individual level factors associated with poor dietary intake, rural residents also face greater rates of food insecurity [10] . a depleted or limited food landscape can predispose residents' dietary consumption and shopping patterns thereby further influencing their health status, as diet is a contributing factor in several chronic illnesses [11] . while agriculture and food production are prominent in many rural landscapes across the u.s., it is not the case for all rural communities. rurality does not equate to farmland or local food production, which many would think support food security within these communities. further, the 2017 census of agriculture revealed a decline in number of farms and farmers and in acres of farmland and farmland production [12] . at the local level, there are numerous factors that dictate food production, including geography, terrain, and inadequate resources such as economic hardship or lack of farmers. those who do operate small farms rely on additional off-farm sources for household income [13] . these factors can also influence the household food environment in rural areas. among low income rural populations, the household food environment, including food security and income concerns, are key factors controlling food choice [14] . rural communities continue to face higher rates of food insecurity, compared with their urban counterparts [10] , and food insecurity has been associated with obesity and greater cardiometabolic risk [15] . the supplemental nutrition assistance program (snap) is the largest federally funded nutrition program in the u.s., serving as a household-supporting infrastructure for individuals facing food insecurity. snap assists eligible, low-income individuals and families in need throughout the u.s. [16] . while eligibility varies by state, those whose income and resources fall below certain thresholds are able to supplement their food budgets using snap benefits [16] . thus, snap is often considered a vital resource for those living in rural communities, as the perpetual ses divide continues between rural and urban settings [17] . at the national level, approximately 16% of those living in rural communities live below the federal poverty line, compared with 12% in urban areas [18] . due to these income gaps, snap participation is higher in rural areas, with 16% of households participating, compared with 13% in urban areas [19] . additionally, most recent federal data from 2017 indicate that of those eligible for snap, participation is higher in rural areas (90%) compared to urban areas (82%), and this participation gap continues to climb [20] . rural areas account for 63% of counties in the u.s., and 87% of counties with the highest rates of food insecurity [21] . furthermore, a report from 2018 indicates that 13.3% of those living in rural areas faced food insecurity, compared with 11.5% in urban areas [10] . resources, such as snap benefits, and other programs for those of low ses, are imperative for those in rural communities, as many in these areas are at risk of being food insecure. thus, initiatives like snap can aid in alleviating food insecurity among vulnerable households and improve dietary intakes, when adequate access to nutritious choices are available [22] . community-based efforts have emphasized the importance of looking at social and physical environments when striving to improve food access [23] [24] [25] . therefore, community-based efforts focused on addressing the local food system are necessary to alleviate the barriers related to the procurement of nutritious foods in rural areas. prioritizing engagement with key stakeholders and community members is vital to consider how to best approach food access initiatives in rural communities. conceptually, community-based efforts can be successful in rural communities, as the multifaceted community setting plays a vital role in influencing the food environment and, ultimately, diet choice in these communities. improving health outcomes pose unique challenges, as resources are sparse and healthcare infrastructure is limited; however, modifying or improving the existing food environment encourages nutritious food choices and shopping behaviors. nonetheless, environmental triggers and product availability affect the dietary choices individuals make, influencing overall health and obesity status [26] . given the unique limitations rural communities face, exploring frequented destinations to assess availability can be beneficial to mitigating the barriers that exist [27] . knowing one's food environment, snap participation, and food insecurity status can influence diet quality, an understanding of the interrelationship among these factors can provide guidance for intervention. this study aims to identify patterns related to fv consumption and food access within a snap-eligible and low-income, highly obese rural appalachian county in kentucky. these findings will serve as a baseline to provide context for addressing food insecurity in a remote rural region of the u.s. baseline findings will guide points of intercept, design future programming to explore the impact rurality has on obesity status, and address the barriers related to accessing nutritious foods within this community and those similar. the present study is part of a multi-year high obesity program (hop) project through the centers for disease control and prevention (cdc) to reduce rural obesity prevalence and decrease the risk of chronic disease and preventable mortality. this paper describes one component of the hop project aimed at providing increased geographic or financial access to nutritious foods. efforts to improve food access will address food insecurity. this work was completed by leveraging existing cooperative extension (ces) infrastructure, with an emphasis placed on community partnership and empowerment, thus enforcing action via established community infrastructure. the cdc funding announcement identified eligible counties across the u.s. based on their obesity prevalence. the setting for this funded project was one eligible appalachian county in kentucky with an adult obesity prevalence greater than 40% per the cdc. the appalachian region of the u.s. has continued to experience significant decline in life expectancy [28] , lack of economic development, and stark out-migration, leaving once fervent and thriving communities destitute, impoverished, and struggling to prosper [29] . this community is reflective of the region, experiencing a persistently high rate of poverty and unemployment, low educational attainment, and food insecurity. the cdc's social vulnerability index, comprised of social and economic indicators, designates the county as "highly vulnerable." [30] the county population is approximately 11,200, and declining, with a median household income of usd $35,000 and an estimated 39% of the population living in poverty [31] . the estimated food insecurity rate is 21%, and approximately 31% of households participate in snap [32, 33] . in order to assure broad community input into all program activities, a health coalition was formed, comprised of key stakeholders including local officials (mayor, magistrates), school representatives (food service director, family resource coordinators), library director, concerned citizens, health department representatives, faith-based organization representatives, and community advocates. the health coalition has been pivotal in establishing partnerships to improve health outcomes within the community. it continues to provide input and direction for all aspects of the current project to identify and implement nutrition-related strategies to address the issue of obesity in the county. the current study aims to identify gaps in community resources to establish new partnerships that address obesity and food insecurity challenges. therefore, a formative food system assessment was conducted at baseline to identify potential areas for intervention to enhance healthier food procurement options. figure 1 outlines the community's primary food access points identified through the food systems assessment. findings from the assessment were shared with the coalition to identify potential programmatic efforts to reduce food insecurity within the community. in alignment with the aim of this study, and to complement community efforts, a prospective cohort was enrolled at baseline for a longitudinal study. the prospective cohort study included a face-to-face survey that occurred in year 1 and will again at years 2 and 3. the university of kentucky institutional review board (irb) approved the research, promotional materials, consent forms, and survey instrument. in summer 2019, messages on the county's ces facebook page recruited community residents interested in participating in the cohort study. the ces office, a local food pantry, several faith-based organizations, and grocery stores in the county distributed recruitment materials. furthermore, recruitment occurred through current community programs offered at the ces office. recruitment messaging continued until enough individuals enrolled to meet the required sample size, which allowed for attrition. participants were excluded if they were under 21 years of age, lived outside the county, were non-english speaking, reported plans to move within the next three years, had lived in the county for less than one year, or if they had been diagnosed with cancer. invited study participants completed the survey via a face-to-face meeting. prior to survey administration, interviewers verbally reviewed key points of the consent form with participants, who then reviewed the full consent form independently, and provided an opportunity to ask questions or to decline participation. once deemed eligible, and agreeable to participation, the participant signed the informed consent form and enrolled in the study. a statistical power analysis was performed for sample size estimation and a proposed sample size of 150 adults were recruited to allow for expected attrition. the prospective cohort study surveys were administered at three locations in the county on various days in fall 2019: the ces office, a local food pantry, and the senior citizens center. the initial date of administration had greater turnout than anticipated by study personnel; several surveys were self-administered as a result (n = 24). moving forward, study personnel modified recruitment processes to schedule appointments for each eligible participant to partake in a verbally administered survey. those interested contacted study personnel or the county's ces office to schedule a day and time to participate. this resulted in fewer ineligible participants and complete survey responses. the in alignment with the aim of this study, and to complement community efforts, a prospective cohort was enrolled at baseline for a longitudinal study. the prospective cohort study included a face-to-face survey that occurred in year 1 and will again at years 2 and 3. the university of kentucky institutional review board (irb) approved the research, promotional materials, consent forms, and survey instrument. in summer 2019, messages on the county's ces facebook page recruited community residents interested in participating in the cohort study. the ces office, a local food pantry, several faith-based organizations, and grocery stores in the county distributed recruitment materials. furthermore, recruitment occurred through current community programs offered at the ces office. recruitment messaging continued until enough individuals enrolled to meet the required sample size, which allowed for attrition. participants were excluded if they were under 21 years of age, lived outside the county, were non-english speaking, reported plans to move within the next three years, had lived in the county for less than one year, or if they had been diagnosed with cancer. invited study participants completed the survey via a face-to-face meeting. prior to survey administration, interviewers verbally reviewed key points of the consent form with participants, who then reviewed the full consent form independently, and provided an opportunity to ask questions or to decline participation. once deemed eligible, and agreeable to participation, the participant signed the informed consent form and enrolled in the study. a statistical power analysis was performed for sample size estimation and a proposed sample size of 150 adults were recruited to allow for expected attrition. the prospective cohort study surveys were administered at three locations in the county on various days in fall 2019: the ces office, a local food pantry, and the senior citizens center. the initial date of administration had greater turnout than anticipated by study personnel; several surveys were self-administered as a result (n = 24). moving forward, study personnel modified recruitment processes to schedule appointments for each eligible participant to partake in a verbally administered survey. those interested contacted study personnel or the county's ces office to schedule a day and time to participate. this resulted in fewer ineligible participants and complete survey responses. the administered survey took approximately 45-60 min to complete. participants received a usd $25 incentive to be used a local grocery store as compensation for completing the survey. the survey instrument utilized for this cohort comprised a variety of items to measure fv intake, household environmental measures, food purchasing practices, and demographic characteristics. demographic items in this analysis included age (in years), gender, preferred language, residential status, highest attained education level, race, and annual household income. snap participation was assessed by asking: "in the past month, did you or any member of your household receive snap benefits or food stamps?" response options included 'yes' or 'no'. questions from the national cancer institute (nci) fruit and vegetable intake screener [34, 35] assessed fv intake. the nci screener asks respondents about usual intake of various fv, ranging from never to ≥5 times per day, and portion sizes for every item (e.g., "over the last month, how many times per month, week, or day did you eat fruit?" and "each time you ate fruit, how much did you usually eat?"). items include 100% fruit juice, fruit, lettuce salad, french fries or fried potatoes, other white potatoes, cooked dried beans, other vegetables, tomato sauce, vegetable soup, and the survey instrument utilized for this cohort comprised a variety of items to measure fv intake, household environmental measures, food purchasing practices, and demographic characteristics. demographic items in this analysis included age (in years), gender, preferred language, residential status, highest attained education level, race, and annual household income. snap participation was assessed by asking: "in the past month, did you or any member of your household receive snap benefits or food stamps?" response options included 'yes' or 'no'. questions from the national cancer institute (nci) fruit and vegetable intake screener [34, 35] assessed fv intake. the nci screener asks respondents about usual intake of various fv, ranging from never to ≥5 times per day, and portion sizes for every item (e.g., "over the last month, how many times per month, week, or day did you eat fruit?" and "each time you ate fruit, how much did you usually eat?"). items include 100% fruit juice, fruit, lettuce salad, french fries or fried potatoes, other white potatoes, cooked dried beans, other vegetables, tomato sauce, vegetable soup, and mixtures that included vegetables. summed items created an overall measure of fv intakes among the sample. this measure served as the primary dependent variable for analysis because increased fv intake is a primary goal of the cdc hop project. the secondary dependent variable, food insecurity, was assessed by asking "which of the following statements best describes the amount of food eaten in your household in the last 30 days?"-enough food to eat, sometimes not enough to eat, or often not enough to eat [36] . "sometimes not enough to eat" and "often not enough to eat" were collapsed into "not enough food to eat" to create a dichotomous assessment of food insecurity. potential covariates of interest included gender, income, education, and years of residency. to minimize skewedness, income, education level, and residential status categories were collapsed: income was dichotomized as