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Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali

19Citations signalées — pas une note de qualité
10Institutions déclarées
5Pays d’affiliation déclarés

Résumé fourni par la source

Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Climate and environmental data were obtained over the same time period from the Goddard Earth Sciences (Giovanni) platform and hydrological data from Mali hydraulic services. A generalized additive model was used to determine the lagged time between each principal component analysis derived component and the incidence of malaria cases, and also used to analyze the relationship between malaria and the lagged components in a multivariate approach. Malaria transmission patterns were bimodal at both sites, but peak and lull periods were longer lasting for Koila study site. Temperatures were associated with malaria incidence in both sites. In Dangassa, the wind speed (p = 0.005) and river heights (p = 0.010) contributed to increasing malaria incidence, in contrast to Koila, where it was humidity (p < 0.001) and vegetation (p = 0.004). The relationships between environmental factors and malaria incidence differed between the two settings, implying different malaria dynamics and adjustments in the conception and plan of interventions.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali
Date Crossref
30/06/2020
Éditeur
MDPI AG
Type
journal-article

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Institutions déclarées

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Sujets associés

Malaria Research and ControlCOVID-19 epidemiological studiesMosquito-borne diseases and control

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