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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study.

Paul J BirrellXu-Sheng ZhangAlice CorbellaEdwin van LeeuwenNikolaos PanagiotopoulosKatja HoschlerAlex J ElliotMaryia McGeeSimon de LusignanAnne M PresanisMarc BaguelinMaria ZambonAndré CharlettRichard G PebodyDaniela De Angelis
Published in: BMC public health (2020)
This exercise successfully applied a range of pandemic models to seasonal influenza. Forecasting early in the season remains challenging but represents a crucially important activity to inform planning. Improved knowledge of pre-existing levels of immunity would be valuable.
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