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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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