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

BACKGROUND: 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 healthcare burden...

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Detalhes bibliográficos
Publicado no:BMC Public Health
Main Authors: Birrell, Paul J., Zhang, Xu-Sheng, Corbella, Alice, van Leeuwen, Edwin, Panagiotopoulos, Nikolaos, Hoschler, Katja, Elliot, Alex J., McGee, Maryia, Lusignan, Simon de, Presanis, Anne M., Baguelin, Marc, Zambon, Maria, Charlett, André, Pebody, Richard G., Angelis, Daniela De
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7158152/
https://ncbi.nlm.nih.gov/pubmed/32293372
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12889-020-8455-9
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