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Value of syndromic surveillance within the Armed Forces for early warning during a dengue fever outbreak in French Guiana in 2006

Authors :
Jefferson Henry
Deparis Xavier
Ravachol Françoise
Ardillon Vanessa
Texier Gaetan
Chaudet Hervé
Meynard Jean-Baptiste
Dussart Philippe
Morvan Jacques
Boutin Jean-Paul
Source :
BMC Medical Informatics and Decision Making, Vol 8, Iss 1, p 29 (2008)
Publication Year :
2008
Publisher :
BMC, 2008.

Abstract

Abstract Background A dengue fever outbreak occured in French Guiana in 2006. The objectives were to study the value of a syndromic surveillance system set up within the armed forces, compared to the traditional clinical surveillance system during this outbreak, to highlight issues involved in comparing military and civilian surveillance systems and to discuss the interest of syndromic surveillance for public health response. Methods Military syndromic surveillance allows the surveillance of suspected dengue fever cases among the 3,000 armed forces personnel. Within the same population, clinical surveillance uses several definition criteria for dengue fever cases, depending on the epidemiological situation. Civilian laboratory surveillance allows the surveillance of biologically confirmed cases, within the 200,000 inhabitants. Results It was shown that syndromic surveillance detected the dengue fever outbreak several weeks before clinical surveillance, allowing quick and effective enhancement of vector control within the armed forces. Syndromic surveillance was also found to have detected the outbreak before civilian laboratory surveillance. Conclusion Military syndromic surveillance allowed an early warning for this outbreak to be issued, enabling a quicker public health response by the armed forces. Civilian surveillance system has since introduced syndromic surveillance as part of its surveillance strategy. This should enable quicker public health responses in the future.

Details

Language :
English
ISSN :
14726947
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.ba4c22a0d93740dbb1a8e0d39bf3a54a
Document Type :
article
Full Text :
https://doi.org/10.1186/1472-6947-8-29