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Spatiotemporal analysis of dengue fever in Burkina Faso from 2016 to 2019.

Authors :
Ouattara, Cheick Ahmed
Traore, Seydou
Sangare, Ibrahim
Traore, Tiandiogo Isidore
Meda, Ziemlé Clément
Savadogo, Léon G. Blaise
Source :
BMC Public Health. 3/7/2022, Vol. 22 Issue 1, p1-8. 8p. 1 Chart, 2 Graphs, 4 Maps.
Publication Year :
2022

Abstract

<bold>Background: </bold>Burkina Faso experienced an epidemic resurgence of dengue in 2016, which led to the implementation of several control strategies. In order to allow a better adaptation of these strategies, we studied the spatio-temporal distribution of dengue.<bold>Methods: </bold>Monthly dengue cases from 2016 to 2019, aggregated at the health district level, were used to map the crude incidence, excess risk, and smoothed incidence of dengue in Burkina Faso with GeoDa software. A Kulldoff scan on Satscan software was then used to identify spatio-temporal clustering of cases.<bold>Results: </bold>The results show that the distribution of dengue fever across the health districts of Burkina Faso is heterogeneous. Dengue was considered non-endemic in 9 out of the 70 health districts, minimally endemic in 45 districts (< 10 incidences), moderately endemic (10-100 incidences) in 12 districts, and highly endemic (> 100 incidences) in 4 districts. The main cluster covered the health districts of Baskuy, Nongr-massom, Sig-noghin, Boulmiougou, and Bogodogo. The months of October and November corresponded to the peak of cases and a significant temporal cluster in 2017.<bold>Conclusion: </bold>This study identified the spatial and temporal clustering of dengue cases in Burkina Faso. These results may help to develop better preventive strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712458
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
BMC Public Health
Publication Type :
Academic Journal
Accession number :
155683741
Full Text :
https://doi.org/10.1186/s12889-022-12820-x