Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict

This paper provides statistical guidance on the development and application of model-based geostatistical methods for disease prevalence mapping. We illustrate the different stages of the analysis, from exploratory analysis to spatial prediction of prevalence, through a case study on malaria mapping...

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Detalles Bibliográficos
Autores principales: Giorgi, Emanuele, Fronterrè, Claudio, Macharia, Peter M., Alegana, Victor A., Snow, Robert W., Diggle, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Review Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169216/
https://www.ncbi.nlm.nih.gov/pubmed/34062104
http://dx.doi.org/10.1098/rsif.2021.0104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169216/
https://www.ncbi.nlm.nih.gov/pubmed/34062104
http://dx.doi.org/10.1098/rsif.2021.0104

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