Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning

Malaria is the cause of nearly half a million deaths worldwide each year, posing a great socioeconomic burden. Despite recent progress in understanding the influence of climate on malaria infection rates, climatic sources of predictability remain poorly understood and underexploited. Local weather v...

Descripción completa

Detalles Bibliográficos
Autores principales: Martineau, Patrick, Behera, Swadhin K., Nonaka, Masami, Jayanthi, Ratnam, Ikeda, Takayoshi, Minakawa, Noboru, Kruger, Philip, Mabunda, Qavanisi E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453600/
https://www.ncbi.nlm.nih.gov/pubmed/36091554
http://dx.doi.org/10.3389/fpubh.2022.962377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453600/
https://www.ncbi.nlm.nih.gov/pubmed/36091554
http://dx.doi.org/10.3389/fpubh.2022.962377

Ejemplares similares