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Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and designing policy. Motivated by the ongoing response to COVID-19, we provide a toolkit of statistical and mathematical models...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:Infect Dis Model
Autori principali: Overton, Christopher E., Stage, Helena B., Ahmad, Shazaad, Curran-Sebastian, Jacob, Dark, Paul, Das, Rajenki, Fearon, Elizabeth, Felton, Timothy, Fyles, Martyn, Gent, Nick, Hall, Ian, House, Thomas, Lewkowicz, Hugo, Pang, Xiaoxi, Pellis, Lorenzo, Sawko, Robert, Ustianowski, Andrew, Vekaria, Bindu, Webb, Luke
Natura: Artigo
Lingua:Inglês
Pubblicazione: KeAi Publishing 2020
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7334973/
https://ncbi.nlm.nih.gov/pubmed/32691015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2020.06.008
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