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 |
DOI | 10.3934/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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