Spatio-temporal analysis and prediction of malaria cases using remote sensing meteorological data in Diébougou health district, Burkina Faso, 2016–2017

Malaria control and prevention programs are more efficient and cost-effective when they target hotspots or select the best periods of year to implement interventions. This study aimed to identify the spatial distribution of malaria hotspots at the village level in Diébougou health district, Burkina...

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Detalles Bibliográficos
Autores principales: Bationo, Cédric S., Gaudart, Jean, Dieng, Sokhna, Cissoko, Mady, Taconet, Paul, Ouedraogo, Boukary, Somé, Anthony, Zongo, Issaka, Soma, Dieudonné D., Tougri, Gauthier, Dabiré, Roch K., Koffi, Alphonsine, Pennetier, Cédric, Moiroux, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501026/
https://www.ncbi.nlm.nih.gov/pubmed/34625589
http://dx.doi.org/10.1038/s41598-021-99457-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501026/
https://www.ncbi.nlm.nih.gov/pubmed/34625589
http://dx.doi.org/10.1038/s41598-021-99457-9

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