Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa

Over 200 million malaria cases globally lead to half-million deaths annually. The development of malaria prevalence prediction systems to support malaria care pathways has been hindered by lack of data, a tendency towards universal “monolithic” models (one-size-fits-all-regions) and a focus on long...

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Detalles Bibliográficos
Autores principales: Brown, Biobele J., Manescu, Petru, Przybylski, Alexander A., Caccioli, Fabio, Oyinloye, Gbeminiyi, Elmi, Muna, Shaw, Michael J., Pawar, Vijay, Claveau, Remy, Shawe-Taylor, John, Srinivasan, Mandayam A., Afolabi, Nathaniel K., Rees, Geraint, Orimadegun, Adebola E., Ajetunmobi, Wasiu A., Akinkunmi, Francis, Kowobari, Olayinka, Osinusi, Kikelomo, Akinbami, Felix O., Omokhodion, Samuel, Shokunbi, Wuraola A., Lagunju, Ikeoluwa, Sodeinde, Olugbemiro, Fernandez-Reyes, Delmiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522256/
https://www.ncbi.nlm.nih.gov/pubmed/32985514
http://dx.doi.org/10.1038/s41598-020-72575-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522256/
https://www.ncbi.nlm.nih.gov/pubmed/32985514
http://dx.doi.org/10.1038/s41598-020-72575-6

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