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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Materias: | |
| 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 |