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Predicting Malaria Transmission Dynamics in Dangassa, Mali: A Novel Approach Using Functional Generalized Additive Models
Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were colle...
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| 主要な著者: | , , , , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2020-08-01
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| シリーズ: | International Journal of Environmental Research and Public Health |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1660-4601/17/17/6339 |
| タグ: |
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