A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action

By Qianying Lin, Shi Zhao, Daozhou Gao, Yuan Lou, Shu Yang, S. Musa, M. Wang, Yongli Cai, Weiming Wang, L. Yang and 1 more. International Journal of Infectious Diseases, 2020

1,060 citations recorded by the source corpus.

Highlights • For the ongoing novel coronavirus disease (CODID-19) outbreak in Wuhan, China, the Chinese government has implemented control measures such as city lockdown to mitigate the impact of the epidemic.• We model the outbreak in Wuhan with individual reaction and governmental action (holiday extension, city lockdown, hospitalisation and quarantine) based on some parameters of the 1918 influenza pandemic in London, United Kingdom.• We show the different effects of individual reaction and governmental action and preliminarily estimate the magnitude of these effects.• We also preliminarily estimate the time-varying reporting ratio.

Subfields: Economics and Econometrics, Infectious Diseases, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/6190f24eb57dced6a883b598eebf1f7f01a30fa8

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Citations in the corpus

Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy (2020, background): “ogical properties of SARS [21]. For COVID-19, Lin et al. considered an extended SEIR model including a variable representing risk perception and a variable representing the cumulative number of cases [22], while Anastassopoulou et al. proposed a discrete-time SIR model including a variable for Dead ”
How simulation modelling can help reduce the impact of COVID-19 (2020, methodology): “Using data from China, Lin et al. (2020), Fang et al. (2020), and Tang et al. (2020) all use an SEIR model to both describe the epidemic and assess the impact of mass social isolation policies.”
Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic (2020, neutral): “people, to control the spread of the coronavirus (Lin et al., 2020).”
Analysis and Dynamics of Fractional Order Mathematical Model of COVID-19 in Nigeria Using Atangana-Baleanu Operator (2021, background): “Furthermore, a data-oriented model that includes behavioral impacts of humans and governmental efforts on the dynamics of COVID-19 in Wuhan is proposed in [14].”