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Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK
Feng, Li-Xiang1; Jing, Shuang-Lin2; Hu, Shi-Ke2; Wang, De-Fen1; Huo, Hai-Feng2
刊名Mathematical Biosciences and Engineering
2020-05-13
卷号17期号:4页码:3618-3636
关键词Cell proliferation Estimation Sensitivity analysis Basic reproduction number Disease-free equilibrium Endemic equilibrium Epidemic modeling Global dynamics Globally asymptotically stable Infectious disease Mathematical analysis
ISSN号15471063
DOI10.3934/MBE.2020204
英文摘要

A new COVID-19 epidemic model with media coverage and quarantine is constructed. The model allows for the susceptibles to the unconscious and conscious susceptible compartment. First, mathematical analyses establish that the global dynamics of the spread of the COVID-19 infectious disease are completely determined by the basic reproduction number R0. If R0 ≤ 1, then the disease free equilibrium is globally asymptotically stable. If R0 > 1, the endemic equilibrium is globally asymptotically stable. Second, the unknown parameters of model are estimated by the MCMC algorithm on the basis of the total confirmed new cases from February 1, 2020 to March 23, 2020 in the UK. We also estimate that the basic reproduction number is R0 = 4.2816(95%CI: (3.8882, 4.6750)). Without the most restrictive measures, we forecast that the COVID-19 epidemic will peak on June 2 (95%CI: (May 23, June 13)) (Figure 3a) and the number of infected individuals is more than 70% of UK population. In order to determine the key parameters of the model, sensitivity analysis are also explored. Finally, our results show reducing contact is effective against the spread of the disease. We suggest that the stringent containment strategies should be adopted in the UK. © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)

WOS研究方向Mathematical & Computational Biology
语种英语
出版者American Institute of Mathematical Sciences
WOS记录号WOS:000548105700025
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/115394]  
专题学科建设与学位办公室
作者单位1.Ningxia Institute of Science and Technology, Shizuishan, Ningxia; 753000, China;
2.Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou, Gansu; 730050, China
推荐引用方式
GB/T 7714
Feng, Li-Xiang,Jing, Shuang-Lin,Hu, Shi-Ke,et al. Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK[J]. Mathematical Biosciences and Engineering,2020,17(4):3618-3636.
APA Feng, Li-Xiang,Jing, Shuang-Lin,Hu, Shi-Ke,Wang, De-Fen,&Huo, Hai-Feng.(2020).Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK.Mathematical Biosciences and Engineering,17(4),3618-3636.
MLA Feng, Li-Xiang,et al."Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK".Mathematical Biosciences and Engineering 17.4(2020):3618-3636.
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