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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Veröffentlicht in:Infect Dis Model
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: KeAi Publishing 2020
Schlagworte:
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
Online Zugang: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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