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Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence
Maps of disease burden are a core tool needed for the control and elimination of malaria. Reliable routine surveillance data of malaria incidence, typically aggregated to administrative units, is becoming more widely available. Disaggregation regression is an important model framework for estimating...
| Autores principales: | , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205339/ https://www.ncbi.nlm.nih.gov/pubmed/35691633 http://dx.doi.org/10.1016/j.sste.2020.100357 |