Inference and prediction of malaria transmission dynamics using time series data
Abstract 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 i...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-07-01
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| Series: | Infectious Diseases of Poverty |
| Online Access: | http://link.springer.com/article/10.1186/s40249-020-00696-1 |