Joint spatial modelling of disease risk using multiple sources: an application on HIV prevalence from antenatal sentinel and demographic and health surveys in Namibia

BACKGROUND: In disease mapping field, researchers often encounter data from multiple sources. Such data are fraught with challenges such as lack of a representative sample, often incomplete and most of which may have measurement errors, and may be spatially and temporally misaligned. This paper pres...

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Detalles Bibliográficos
Autores principales: Ntirampeba, D., Neema, I., Kazembe, L. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683381/
https://www.ncbi.nlm.nih.gov/pubmed/29202090
http://dx.doi.org/10.1186/s41256-017-0041-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683381/
https://www.ncbi.nlm.nih.gov/pubmed/29202090
http://dx.doi.org/10.1186/s41256-017-0041-z

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