Spatio-Temporal Determinants of Dengue Epidemics in the Central Region of Burkina Faso

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Résumé

The aim of this study was to analyze the spatio-temporal distribution and determinants of the 2017 dengue epidemic in Burkina Faso. A principal component analysis of meteorological and environmental factors was performed to reduce dimensions and avoid collinearities. An initial generalized additive model assessed the impact of the components derived from this analysis on dengue incidence. Dengue incidence increased mainly with relative humidity, precipitation, normalized difference vegetation index and minimum temperature with an 8-week lag. A Kulldoff Satscan scan was used to identify high-risk dengue clusters, and a second generalized additive model assessed the risk of a health area being at high risk according to land-use factors. The spatio-temporal distribution of dengue fever was heterogeneous and strongly correlated with meteorological factors. The rural communes of Sabaa and Koubri were the areas most at risk. This study provides useful information for planning targeted dengue control strategies in Burkina Faso.

Mots-clés

Dengue fever, Geography, Generalized additive model, Distribution (mathematics), Environmental health, Incidence (geometry), Principal component analysis, Distributed lag, Environmental science, Socioeconomics, Statistics, Medicine, Mathematics, Virology