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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
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
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334973/
https://www.ncbi.nlm.nih.gov/pubmed/32691015
http://dx.doi.org/10.1016/j.idm.2020.06.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334973/
https://www.ncbi.nlm.nih.gov/pubmed/32691015
http://dx.doi.org/10.1016/j.idm.2020.06.008

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