Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence

Maps of disease burden are a core tool needed for the control and elimination of malaria. Reliable routine surveillance data of malaria incidence, typically aggregated to administrative units, is becoming more widely available. Disaggregation regression is an important model framework for estimating...

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Detalles Bibliográficos
Autores principales: Lucas, Tim C.D., Nandi, Anita K., Keddie, Suzanne H., Chestnutt, Elisabeth G., Howes, Rosalind E., Rumisha, Susan F., Arambepola, Rohan, Bertozzi-Villa, Amelia, Python, Andre, Symons, Tasmin L., Millar, Justin J., Amratia, Punam, Hancock, Penelope, Battle, Katherine E., Cameron, Ewan, Gething, Peter W., Weiss, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205339/
https://www.ncbi.nlm.nih.gov/pubmed/35691633
http://dx.doi.org/10.1016/j.sste.2020.100357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205339/
https://www.ncbi.nlm.nih.gov/pubmed/35691633
http://dx.doi.org/10.1016/j.sste.2020.100357

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