Layout 1 ISDS Annual Conference Proceedings 2012. This is an Open Access article distributed under the terms of the Creative Commons Attribution- Noncommercial 3.0 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. ISDS 2012 Conference Abstracts Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte Pascal Vilain*1, Olivier Maillard3, Julien Raslan-Loubatie2, Mohamed Ahmed Abdou3, Tinne Lernout2 and Laurent Filleul1 1Regional Office of the French Institute for Public Health Surveillance of Indian Ocean, Saint-Denis, Reunion; 2Regional Office of the French Institute for Public Health Surveillance of Indian Ocean, Mamoudzou, Mayotte; 3Hospital Center of Mayotte, Mamoudzou, Mayotte Objective To present the usefulness of syndromic surveillance for the detec- tion of infectious diseases outbreak in small islands, based on the ex- perience of Mayotte. Introduction Mayotte Island, a French overseas department of around 374 km2 and 200 000 inhabitants is located in the North of Mozambique Chan- nel in the Indian Ocean (Figure1). In response to the threat of the pandemic influenza A(H1N1)2009 virus emergence, a syndromic surveillance system has been imple- mented in order to monitor its spread and its impact on public health (1). This surveillance system which proved to be useful during the influenza pandemic, has been maintained in order to detect infection diseases outbreaks. Methods Data are collected daily directly from patients’ computerized med- ical files that are filled in during medical consultations at the emer- gency department (ED) of the hospital Center of Mayotte (2). Among the collected variables, the diagnosis coded according to ICD-10 is used to categorize the syndromes. Several syndromes are monitored including the syndromic grouping for conjunctivitis and unexplained fever. For early outbreak detection, a control chart is used based on an adaptation of the Cusum methods developed by the CDC within the framework of the EARS program (3). Results Each week, about 700 patients attend the ED of the hospital. The syndromic surveillance system allowed to detect an outbreak of con- junctivitis from week 10 (Figure2). During the epidemic peak on week 12, conjunctivitis consultations represented 5% of all consul- tations. The data of the sentinel practitioner network confirmed this epidemic and the laboratory isolated Enterovirus (4). At the same time, an unusual increase of unexplained fever was detected. Conclusions Due to its geographical and socio-demographical situation, the population of Mayotte is widely exposed to infectious diseases. Even on a small island, syndromic surveillance can be useful to detect out- break early leading to alerts and to mobilize a rapid response in ad- dition to others systems. Figure1. Map of the western Indian Ocean featuring Mayotte Island Figure2. Weekly number of conjonctivitis and unexplained fever consulta- tions and statistical alarms detected Keywords Syndromic surveillance; Early outbreak detection; Mayotte Island Acknowledgments We are thankful to all the sentinel network practitioners and the practi- tioners of the emergency department. Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e149, 2013 ISDS Annual Conference Proceedings 2012. This is an Open Access article distributed under the terms of the Creative Commons Attribution- Noncommercial 3.0 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. ISDS 2012 Conference Abstracts References 1. Lernout T, Durquety E, Chollet P, Helleisen F, Javaudin G, Lajoinie G, Filleul L. [Influenza A (H1N1) 2009 surveillance on Mayotte is- land: the challenge of setting up a new system facing the pandemic]. Bull Soc Pathol Exot. 2011 May;104(2):114-8. 2. Filleul L, Durquety E, Baroux N, Chollet P, Cadivel A, Lernout T. [The development of non-specific surveillance in Mayotte and Re- union Island in the context of the epidemic influenza A(H1N1)2009] [Article in French]. Bull Epidémiol Hebd. 2010;(24-26):283-5. 3. Hutwagner L, Browne T, Seeman GM, Fleischauer AT. Comparing aberration detection methods with simulated data. Emerg Infect Dis. 2005 Feb;11(2):314-6. 4. Lernout T, Maillard O, Boireaux S, Collet L, Filleul L. A large out- break of conjunctivitis on Mayotte Island, France, February to May 2012. Euro Surveill. 2012 Jun 7;17(23). pii: 20192. *Pascal Vilain E-mail: pascal.vilain@ars.sante.fr Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e149, 2013