Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data

BACKGROUND: In many areas of the Greater Mekong Subregion (GMS), malaria endemic regions have shrunk to patches of predominantly low-transmission. With a regional goal of elimination by 2030, it is important to use appropriate methods to analyze and predict trends in incidence in these remaining tra...

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Detalles Bibliográficos
Autores principales: Rotejanaprasert, Chawarat, Ekapirat, Nattwut, Sudathip, Prayuth, Maude, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690908/
https://www.ncbi.nlm.nih.gov/pubmed/34930128
http://dx.doi.org/10.1186/s12874-021-01480-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690908/
https://www.ncbi.nlm.nih.gov/pubmed/34930128
http://dx.doi.org/10.1186/s12874-021-01480-x

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