Predicting Malaria Transmission Dynamics in Dangassa, Mali: A Novel Approach Using Functional Generalized Additive Models

Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were colle...

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Detalles Bibliográficos
Autores principales: Ateba, François Freddy, Febrero-Bande, Manuel, Sagara, Issaka, Sogoba, Nafomon, Touré, Mahamoudou, Sanogo, Daouda, Diarra, Ayouba, Magdalene Ngitah, Andoh, Winch, Peter J., Shaffer, Jeffrey G., Krogstad, Donald J., Marker, Hannah C., Gaudart, Jean, Doumbia, Seydou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504016/
https://www.ncbi.nlm.nih.gov/pubmed/32878174
http://dx.doi.org/10.3390/ijerph17176339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504016/
https://www.ncbi.nlm.nih.gov/pubmed/32878174
http://dx.doi.org/10.3390/ijerph17176339

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