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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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