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Using remote sensing environmental data to forecast malaria incidence at a rural district hospital in Western Kenya
Malaria surveillance data provide opportunity to develop forecasting models. Seasonal variability in environmental factors correlate with malaria transmission, thus the identification of transmission patterns is useful in developing prediction models. However, with changing seasonal transmission pat...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5453969/ https://ncbi.nlm.nih.gov/pubmed/28572680 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-02560-z |
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