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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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Dades bibliogràfiques
Publicat a:BMC Public Health
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2020
Matèries:
Accés en línia: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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