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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158152/
https://www.ncbi.nlm.nih.gov/pubmed/32293372
http://dx.doi.org/10.1186/s12889-020-8455-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158152/
https://www.ncbi.nlm.nih.gov/pubmed/32293372
http://dx.doi.org/10.1186/s12889-020-8455-9

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