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Predicting malaria epidemics in Burkina Faso with machine learning
Accurately forecasting the case rate of malaria would enable key decision makers to intervene months before the onset of any outbreak, potentially saving lives. Until now, methods that forecast malaria have involved complicated numerical simulations that model transmission through a community. Here...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213140/ https://www.ncbi.nlm.nih.gov/pubmed/34143829 http://dx.doi.org/10.1371/journal.pone.0253302 |