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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Bibliographic Details
Published in: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
Format: Artigo
Language:Inglês
Published: KeAi Publishing 2020
Subjects:
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 Access: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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