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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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| Publicat a: | BMC Public Health |
|---|---|
| Autors principals: | , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| 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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