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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Detalhes bibliográficos
Publicado no:Infect Dis Model
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Publishing 2020
Assuntos:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acesso em linha: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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