{"title":"Stability analysis of a SIQR epidemic compartmental model with saturated incidence rate, vaccination and elimination strategies","authors":"Monika Badole , Ramakant Bhardwaj , Rohini Joshi , Pulak Konar","doi":"10.1016/j.rico.2024.100459","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, we developed and analyzed a compartmental epidemic model and a system model that incorporate vaccination, elimination, and quarantine techniques, with a saturated incidence rate, by theoretical and numerical means. The model is described by a system of four nonlinear differential equations. Our analysis included determining the reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span> and examining equilibrium solutions. The outcomes of the disease are identified through the threshold <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span>. When <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>, the disease-free equilibrium is globally asymptotically stable, as proved by the LaSalle invariance principle and disease extinction analysis. However, using the Routh–Hurwitz criterion, we have proved that the disease-free equilibrium is not stable, and when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span>, the unique endemic equilibrium is asymptotically stable locally. The stability of the endemic and disease-free equilibria globally has been examined using the Routh–Hurwitz and Dulac criteria. Subsequently, numerical simulations were utilized to illustrate the theoretical findings effectively.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100459"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000894/pdfft?md5=be77ca5675314821c1d946491b564e65&pid=1-s2.0-S2666720724000894-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Control and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666720724000894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we developed and analyzed a compartmental epidemic model and a system model that incorporate vaccination, elimination, and quarantine techniques, with a saturated incidence rate, by theoretical and numerical means. The model is described by a system of four nonlinear differential equations. Our analysis included determining the reproduction number and examining equilibrium solutions. The outcomes of the disease are identified through the threshold . When , the disease-free equilibrium is globally asymptotically stable, as proved by the LaSalle invariance principle and disease extinction analysis. However, using the Routh–Hurwitz criterion, we have proved that the disease-free equilibrium is not stable, and when , the unique endemic equilibrium is asymptotically stable locally. The stability of the endemic and disease-free equilibria globally has been examined using the Routh–Hurwitz and Dulac criteria. Subsequently, numerical simulations were utilized to illustrate the theoretical findings effectively.