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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Infect Dis Model
Egile Nagusiak: Betti, Matthew I., Heffernan, Jane M.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: KeAi Publishing 2021
Gaiak:
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
Sarrera elektronikoa: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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