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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Detalhes bibliográficos
Publicado no:Parasit Vectors
Main Authors: Diboulo, Eric, Sié, Ali, Diadier, Diallo A, Voules, Dimitrios A Karagiannis, Yé, Yazoume, Vounatsou, Penelope
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2015
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4365550/
https://ncbi.nlm.nih.gov/pubmed/25888970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13071-015-0679-7
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