A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic

One of the major difficulties with modelling an ongoing epidemic is that often data is limited or incomplete, making it hard to estimate key epidemic parameters and outcomes (e.g. attack rate, peak time, reporting rate, reproduction number). In the current study, we present a model for data-fitting...

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Detalhes bibliográficos
Publicado no:Infect Dis Model
Main Authors: Betti, Matthew I., Heffernan, Jane M.
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Publishing 2021
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/PMC7833529/
https://ncbi.nlm.nih.gov/pubmed/33521406
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2021.01.002
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