Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study
Background<br> Since the 2009 A/H1N1 pandemic, Public Health England have developed a suite of real-time statistical models utilising enhanced pandemic surveillance data to nowcast and forecast a future pandemic. Their ability to track seasonal influenza and predict heightened winter healthcar...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2020
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