Timeliness of Yellow Fever Surveillance, Central African Republic - Volume 20, Number 6—June 2014 - Emerging Infectious Disease journal - CDC
Volume 20, Number 6—June 2014
Timeliness of Yellow Fever Surveillance, Central African Republic
Antoine Rachas1, Emmanuel Nakouné, Julie Bouscaillou, Juliette Paireau, Benjamin Selekon, Dominique Senekian, Arnaud Fontanet, and Mirdad Kazanji
Author affiliations: Institut Pasteur, Bangui, Central African Republic (A. Rachas, E. Nakouné, J. Bouscaillou, B. Selekon, M. Kazanji); Institut Pasteur, Paris, France (A. Rachas, J. Bouscaillou, J. Paireau, A, Fontanet); Ministry of Health, Bangui, (D. Senekian);Conservatoire National des Arts et Métiers, Paris (A. Fontanet)
Because the number of reported cases of yellow fever has increased over the past 2 decades, it is considered a reemerging disease (1,2). The World Health Organization (WHO) requires that all affected countries report yellow fever cases. Increasing risk for resurgence, potential severity of an epidemic, and possibility of preventing its spread by vaccination make early detection of yellow fever outbreaks essential, especially in a country such as the Central African Republic, where access to healthcare is difficult because of security concerns in several areas.
There are minimal data for yellow fever surveillance in Africa. The purpose of this study was to describe the timeliness, which was defined as the delay between date of onset of jaundice reported by the patient and date of an ELISA result, of the yellow fever surveillance system in the Central African Republic and identify temporal and spatial patterns and factors associated with delays in reporting.
Dr Rachas is an assistant professor at the European Hospital Georges Pompidou, Paris France. His primary research interest is the epidemiology of communicable diseases.
We thank the WHO office in Bangui for providing funds for transportation of samples to the laboratory and diagnostic reagents and the IPB for providing diagnostic tests.
- Figure 1. Temporal pattern of mean time (delay between date of onset of jaundice reported by the patient and date of an ELISA result) for A) yellow fever surveillance, B)...
- Figure 2. Spatial pattern of mean time (delay between date of onset of jaundice reported by the patient and date of an ELISA result for A) yellow fever surveillance, B) mean...
- Table 1. Characteristics of 3,220 case-patients with suspected yellow fever, Central African Republic, 2007–2012
- Table 2. Factors associated with timeliness of yellow fever surveillance, Central African Republic, 2007–2012
- Technical Appendix. Incidence rates of yellow fever cases, Central African Republic, 2007–2012. 307 KB
Suggested citation for this article: Rachas A, Nakouné E, Bouscaillou J, Paireau J, Selekon B, Senekian D, et al. Timeliness of yellow fever surveillance, Central African Republic. Emerg Infect Dis [Internet]. 2014 Jun [date cited]. http://dx.doi.org/10.3201/eid2006.130671
1Current affiliation: European Hospital Georges Pompidou and Descartes University, Paris, France.