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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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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2017
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| Soggetti: | |
| Accesso online: | 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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