Yantao Luo, Pengfei Liu, Tingting Zheng, Zhidong Teng
{"title":"Dynamic analysis of an SSvEIQR model with nonlinear contact rate, isolation rate and vaccination rate dependent on media coverage","authors":"Yantao Luo, Pengfei Liu, Tingting Zheng, Zhidong Teng","doi":"10.1142/s1793524524500116","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we study an SS<sub><i>v</i></sub>EIQR model with nonlinear contact rate, isolation rate and vaccination rate driven by media coverage. First, the basic reproduction number <span><math altimg=\"eq-00003.gif\" display=\"inline\" overflow=\"scroll\"><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span><span></span> is derived. Then, the threshold dynamics of the disease are obtained in terms of <span><math altimg=\"eq-00004.gif\" display=\"inline\" overflow=\"scroll\"><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span><span></span>: when <span><math altimg=\"eq-00005.gif\" display=\"inline\" overflow=\"scroll\"><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>≤</mo><mn>1</mn></math></span><span></span>, the global stability of the disease-free equilibrium is obtained by constructing an appropriate Lyapunov function; when <span><math altimg=\"eq-00006.gif\" display=\"inline\" overflow=\"scroll\"><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></math></span><span></span>, the sufficient conditions to prove the globally stability of endemic equilibrium are obtained by applying the geometric method into the four-dimensional system, which needs to estimate the Lozinski<span><math altimg=\"eq-00007.gif\" display=\"inline\" overflow=\"scroll\"><mi>ǐ</mi></math></span><span></span> measure of a <span><math altimg=\"eq-00008.gif\" display=\"inline\" overflow=\"scroll\"><mn>6</mn><mo stretchy=\"false\">×</mo><mn>6</mn></math></span><span></span> matrix. Further, we conduct some numerical simulations to validate our theoretical results, and analyze the impact of media coverage on disease transmission, the results show that media coverage could effectively suppress the spread of the disease and reduce the number of infected individuals. Finally, through the sensitivity analysis of <span><math altimg=\"eq-00009.gif\" display=\"inline\" overflow=\"scroll\"><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span><span></span>, we obtain some measures to control the spread of the disease, such as reducing contact, strengthening isolation and vaccination.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1142/s1793524524500116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we study an SSvEIQR model with nonlinear contact rate, isolation rate and vaccination rate driven by media coverage. First, the basic reproduction number is derived. Then, the threshold dynamics of the disease are obtained in terms of : when , the global stability of the disease-free equilibrium is obtained by constructing an appropriate Lyapunov function; when , the sufficient conditions to prove the globally stability of endemic equilibrium are obtained by applying the geometric method into the four-dimensional system, which needs to estimate the Lozinski measure of a matrix. Further, we conduct some numerical simulations to validate our theoretical results, and analyze the impact of media coverage on disease transmission, the results show that media coverage could effectively suppress the spread of the disease and reduce the number of infected individuals. Finally, through the sensitivity analysis of , we obtain some measures to control the spread of the disease, such as reducing contact, strengthening isolation and vaccination.