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A genetic algorithm for identifying spatially-varying environmental drivers in a malaria time series model
Time series models of malaria cases can be applied to forecast epidemics and support proactive interventions. Mosquito life history and parasite development are sensitive to environmental factors such as temperature and precipitation, and these variables are often used as predictors in malaria model...
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| Veröffentlicht in: | Environ Model Softw |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8018598/ https://ncbi.nlm.nih.gov/pubmed/33814961 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.envsoft.2019.06.010 |
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