Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso

BACKGROUND: Quantification of malaria heterogeneity is very challenging, partly because of the underlying characteristics of mosquitoes and also because malaria is an environmentally driven disease. Furthermore, in order to assess the spatial and seasonal variability in malaria transmission, vector...

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Detalles Bibliográficos
Autores principales: Diboulo, Eric, Sié, Ali, Diadier, Diallo A, Voules, Dimitrios A Karagiannis, Yé, Yazoume, Vounatsou, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365550/
https://www.ncbi.nlm.nih.gov/pubmed/25888970
http://dx.doi.org/10.1186/s13071-015-0679-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365550/
https://www.ncbi.nlm.nih.gov/pubmed/25888970
http://dx.doi.org/10.1186/s13071-015-0679-7

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