ISDS Annual Conference Proceedings 2019. This is an Open Access article distributed under the terms of the Creative Commons AttributionNoncommercial 4.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(1): e405, 2019 ISDS 2019 Conference Abstracts Progress towards Companion Animal Zoonotic Disease Surveillance in the U.S. Army Sheldon G. Waugh, Sara B. Mullaney Army Public Health Center, United States Objective We assesed the feasibility of a zoonotic disease surveillance system through the current EHR (ROVR) for all POAs and GOAs. Additionally, we conducted a retrospective observational study querying and collecting reported zoonoses of interest, for 201 7. Introduction Dogs, cats and other companion animals have played an integral role in many aspects of human life. Human and companion animal (CAs) interactions have a wide range of benefits to human health [1-3]. The threat of zoonotic transmission between CAs and humans is exacerbated by proximity (56% of dog owners and 62% of cat owners sleep with their animal next to them [4]) and the number of diseases CAs share with humans. Many of these highlighted zoonoses are spread by direct contact, and others are vector-transmitted (e.g., fleas, ticks, flies, and mosquitos). Within the realm of the One-Health concept, CAs can serve multiple roles in zoonotic transmission chains between humans and animals. They can serve as intermediate hosts between wildlife reservoirs and humans, or as possible sentinel or proxy species for emerging diseases [5]. Given the large number of CAs within the United States (estimated 72 million pet dogs, 81 million pet cats), understanding and preventing the diseases prevalent in CA populations is of utmost importance. Biosurveillance is a critical component of One Health initiatives including zoonotic disease mitigation and control. As Lead Service for Veterinary Animal and Public Health Services, the Army has a responsibility to champion biosurveillan ce efforts to support One Health initiatives, improving Servicemember, family, and retiree health across the Joint Force. Additionally, wit h military personnel experiencing apparent increased rates of job-reducing ailments such as diarrheal, bacterial and viral disease [6- 8], it is essential that the Army focus on maximizing their operational potential by minimizing the amount of time personnel are sick from these transmissible diseases and observing potential sources of infection. By observing the zoonotic disease burden in privately owned (POAs) and government-owned (GOAs) animals, public health investigators can increase focus on what transmittable diseases are at greatest risk of being spread from companion animals to military personnel. To address this potential source of infection, the Department of Defense (DoD) sought and continues to seek to establish a centralized and integrated veterinary zoonotic surveillance system to provide Commanders with a clear picture of disease burd en [9]. With this assigned responsibility, the Army Veterinary Service (VS) seeks to centralize and enhance surveillance efforts through the Remote Online Veterinary Record (ROVR) Electronic Health Record (EHR), an enterprise web-based application to support the Army VS, accurately establishing a zoonotic epidemiological baseline and sustaining consistent future reporting. Methods Through a requested effort and proof of concept, the Army Public Health Center’s (APHC) One Health Division tested the feasibility of a zoonotic disease surveillance system through the current EHR (ROVR) for all POAs and GOAs. We obtained one year (2017) worth of zoonotic encounters of interest through ROVR, querying a population of roughly 202,000 animals (n=202,217). We conducted a retrospective observational study comparing reported zoonoses of interest between CA populations. Maximum Likelihood Estimations of frequency detailed comparisons of frequency and prevalence between GOAs and POAs, within the ROVR EHR. Additionally, we evaluated the accuracy of surveillance data queried, proposed potential metrics and dashboards for commanders and stakeholders to easily observe zoonotic burden of companion animals and developed potential courses of action for future tools, collaborations, and educational interventions. Results Of the 512 collected zoonotic encounters, Giardia and Hookworm were the two most prevalent zoonoses overall, with 4.23 and 5.43 cases per 10,000 outpatient visits (OPVs), respectively. We observed a significant differential frequency of Gi ardia and http://ojphi.org/ ISDS Annual Conference Proceedings 2019. This is an Open Access article distributed under the terms of the Creative Commons AttributionNoncommercial 4.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(1): e405, 2019 ISDS 2019 Conference Abstracts Hookworm between GOAs and POAs (63% (CI: 54.6-71.4) vs 12.7% (CI: 9.7-16.1) and 2.5% (CI: 0.1-5.9) vs 41.9% (CI: 37.1- 46.8) of all queried zoonotic diseases of interest, respectively). In addition to back-end database and querying improvements, we suggested the development of an educational intervention based at Army First-Year Graduate Veterinary Education program (FYGVE) locations to emphasize the important benefits of capturing zoonotic diseases of interest correctly, early stages in t he clinical experience. The intervention would focus on increasing accurate data capture with the ultimate goal of a phased regional rollout through education and collaboartive buy-in. Conclusions From these results and recent CDC guidance of data-driven surveillance, we’ve proposed a phased surveillance development plan focused on systematic data collection, collaboration, and evaluation. Our idenfitied overexpressed zoonoses will focus our efforts on tracking Giardia and Hookworm through multi-year trends. This assessment and proof of concept allows for illumination of gaps and limitations within the Army VS to effectively track the zoonotic burden of GOA and POA populations. Our current and future work will look to close surveillance gaps and help identify potential routes of transmission from companion animals to humans. References 1. Edney AT. 1995. Companion animals and human health: an overview. J R Soc Med. 88(12), 704p-08p. PubMed 2. Wells DL. 2009. The Effects of Animals on Human Health and Well-Being. J Soc Issues. 65(3), 523-43. https://doi.org/10.1111/j.1540-4560.2009.01612.x 3. O’Haire M. 2010. Companion animals and human health: Benefits, challenges, and the road ahead. Journal of Veterinary Behavior: Clinical Applications and Research. 5(5), 226-34. https://doi.org/10.1016/j.jveb.2010.02.002 4. Krahn LE, Tovar MD, Miller B. 2015. Are Pets in the Bedroom a Problem? Mayo Clin Proc. 90(12), 1663-65. PubMed https://doi.org/10.1016/j.mayocp.2015.08.012 5. Day MJ, Breitschwerdt E, Cleaveland S, Karkare U, Khanna C, et al. 2012. Surveillance of Zoonotic Infectious Disease Transmitted by Small Companion Animals. Emerg Infect Dis. 18(12). https://doi.org/10.3201/eid1812.120664 6. Cook GC. 2001. Influence of diarrhoeal disease on military and naval campaigns. J R Soc Med. 94(2), 95-97. PubMed https://doi.org/10.1177/014107680109400217 7. Sanchez JL, Gelnett J, Petruccelli BP, Defraites RF, Taylor DN. 1998. Diarrheal disease incidence and morbidity among United States military personnel during short-term missions overseas. Am J Trop Med Hyg. 58(3), 299-304. PubMed https://doi.org/10.4269/ajtmh.1998.58.299 8. Russell KL, Hawksworth AW, Ryan MAK, Strickler J, Irvine M, et al. 2006. Vaccine-preventable adenoviral respiratory illness in US military recruits, 1999–2004. Vaccine. 24(15), 2835-42. PubMed https://doi.org/10.1016/j.vaccine.2005.12.062 9. Richardson TR. DoD Directive 6400.04E: DoD Veterinary Public and Animal Health Services [Internet]. Monterey, California. Naval Postgraduate School; 2000 [cited 2017 Jul 26]. Available from: http://calhoun.nps.edu/handle/10945/9216 http://ojphi.org/ https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8786595&dopt=Abstract https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=8786595&dopt=Abstract https://doi.org/10.1111/j.1540-4560.2009.01612.x https://doi.org/10.1016/j.jveb.2010.02.002 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=26478564&dopt=Abstract https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=26478564&dopt=Abstract https://doi.org/10.1016/j.mayocp.2015.08.012 https://doi.org/10.3201/eid1812.120664 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11234214&dopt=Abstract https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11234214&dopt=Abstract https://doi.org/10.1177/014107680109400217 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9546406&dopt=Abstract https://doi.org/10.4269/ajtmh.1998.58.299 https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16480793&dopt=Abstract https://doi.org/10.1016/j.vaccine.2005.12.062 ISDS Annual Conference Proceedings 2019. This is an Open Access article distributed under the terms of the Creative Commons AttributionNoncommercial 4.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 11(1): e405, 2019 ISDS 2019 Conference Abstracts http://ojphi.org/