Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

BACKGROUND: There is a need for comprehensive evaluations of the underlying local factors that contribute to residual malaria in sub-Saharan Africa. However, it is difficult to compare the wide array of demographic, socio-economic, and environmental variables associated with malaria transmission usi...

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Detalles Bibliográficos
Autores principales: Millar, Justin, Psychas, Paul, Abuaku, Benjamin, Ahorlu, Collins, Amratia, Punam, Koram, Kwadwo, Oppong, Samuel, Valle, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162921/
https://www.ncbi.nlm.nih.gov/pubmed/30268127
http://dx.doi.org/10.1186/s12936-018-2491-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162921/
https://www.ncbi.nlm.nih.gov/pubmed/30268127
http://dx.doi.org/10.1186/s12936-018-2491-2

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