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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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Bibliografski detalji
Izdano u:Infect Dis Model
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: KeAi Publishing 2020
Teme:
Online pristup: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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