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Inference and prediction of malaria transmission dynamics using time series data
BACKGROUND: Disease surveillance systems are essential for effective disease intervention and control by monitoring disease prevalence as time series. To evaluate the severity of an epidemic, statistical methods are widely used to forecast the trend, seasonality, and the possible number of infection...
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| Опубликовано в: : | Infect Dis Poverty |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7367373/ https://ncbi.nlm.nih.gov/pubmed/32678025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40249-020-00696-1 |
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