Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali.
generalized additive models
geo-epidemiology
lag
malaria
normalized difference vegetation index
passive case detection
plasmodium falciparum
principal components analysis
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
30 06 2020
30 06 2020
Historique:
received:
27
04
2020
revised:
19
06
2020
accepted:
23
06
2020
entrez:
8
7
2020
pubmed:
8
7
2020
medline:
24
11
2020
Statut:
epublish
Résumé
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 (
Identifiants
pubmed: 32629876
pii: ijerph17134698
doi: 10.3390/ijerph17134698
pmc: PMC7370019
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : FIC NIH HHS
ID : D43 TW008652
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI089696
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI129387
Pays : United States
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