Using remote sensing environmental data to forecast malaria incidence at a rural district hospital in Western Kenya

Malaria surveillance data provide opportunity to develop forecasting models. Seasonal variability in environmental factors correlate with malaria transmission, thus the identification of transmission patterns is useful in developing prediction models. However, with changing seasonal transmission pat...

Descripción completa

Detalles Bibliográficos
Autores principales: Sewe, Maquins Odhiambo, Tozan, Yesim, Ahlm, Clas, Rocklöv, Joacim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453969/
https://www.ncbi.nlm.nih.gov/pubmed/28572680
http://dx.doi.org/10.1038/s41598-017-02560-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453969/
https://www.ncbi.nlm.nih.gov/pubmed/28572680
http://dx.doi.org/10.1038/s41598-017-02560-z

Ejemplares similares