Modeling the control of COVID-19: impact of policy interventions and meteorological factors

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dc.contributor.authorJia, Jiwei
dc.contributor.authorDing, Jian
dc.contributor.authorLiu, Siyu
dc.contributor.authorLiao, Guidong
dc.contributor.authorLi, Jingzhi
dc.contributor.authorDuan, Ben
dc.contributor.authorWang, Guoqing
dc.contributor.authorZhang, Ran
dc.date.accessioned2021-09-21T19:56:01Z
dc.date.available2021-09-21T19:56:01Z
dc.date.issued2020-03-16
dc.description.abstractIn this article we propose a dynamical model with seven compartments to describe the transmission of COVID-19 in China. The home quarantine strategy has played a vital role in controlling the disease spread. Based on a Least-Squares procedure and officially published data, the estimation of parameters for the proposed model is obtained. The control reproduction number of most provinces in China are analyzed. Attention that the quarantine period must be long enough. Once the control strategy is removed, the disease still has high risk of human-to-human transmission continuously. In the study, a comprehensive meteorological index is introduced to represent the impact of meteorological factors. The effectiveness of vaccination is also considered in the model. We design detailed vaccination strategies for COVID-19 in different control phases and show the effectiveness of large scale vaccination.
dc.description.departmentMathematics
dc.formatText
dc.format.extent24 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationJia, J., Ding, J., Liu, S., Liao, G., Li, J., Duan, B., Wang, G., & Zhang, R. (2020). Modeling the control of COVID-19: impact of policy interventions and meteorological factors. <i>Electronic Journal of Differential Equations, 2020</i>(23), pp. 1-24.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/14527
dc.language.isoen
dc.publisherTexas State University, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2020, San Marcos, Texas: Texas State University and University of North Texas.
dc.subjectCOVID-19
dc.subjectDynamical model
dc.subjectIsolation strategy
dc.subjectVaccination strategy
dc.subjectMeteorological index
dc.titleModeling the control of COVID-19: impact of policy interventions and meteorological factors
dc.typeArticle

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