{"title":"Dynamics of an SEIRV endemic model: effects of reinfection.","authors":"Aditya Khan, Lin Wang, Juxin Liu, Momiao Xiong","doi":"10.1080/17513758.2026.2713881","DOIUrl":null,"url":null,"abstract":"<p><p>The threshold interpretation of <math><msub><mi>R</mi><mn>0</mn></msub></math> can fail to describe elimination in epidemic models with imperfect vaccination and reinfection. We study an SEIRV model in which vaccinated individuals remain partially susceptible and recovered individuals may be reinfected. The main novelty is an explicit threshold account of how reinfection can sustain endemic equilibria even when the vaccinated-population reproduction number satisfies <math><mrow><msub><mi>R</mi><mn>0</mn></msub><mo><</mo><mn>1</mn></mrow></math>. We derive the disease-free equilibrium, <math><msub><mi>R</mi><mn>0</mn></msub></math>, and a sufficient condition for convergence to the disease-free state, showing why local disease-free stability and global elimination are distinct. We reduce the endemic-equilibrium problem to a scalar equation and identify a reinfection threshold <math><msubsup><mi>β</mi><mn>2</mn><mo>∗</mo></msubsup></math> determining the local direction of bifurcation at <math><mrow><msub><mi>R</mi><mn>0</mn></msub><mo>=</mo><mn>1</mn></mrow></math>. When <math><mrow><msub><mi>β</mi><mn>2</mn></msub><mo>></mo><msubsup><mi>β</mi><mn>2</mn><mo>∗</mo></msubsup></mrow></math>, we prove a lower critical threshold <math><mrow><msubsup><mi>R</mi><mn>0</mn><mi>C</mi></msubsup><mo><</mo><mn>1</mn></mrow></math> separating elimination from subcritical endemic persistence. We also give an efficient-vaccine approximation and general numerical algorithm for computing <math><msubsup><mi>R</mi><mn>0</mn><mi>C</mi></msubsup></math>. Simulations using an illustrative Omicron-era parameterisation show how these thresholds organise the model dynamics.</p>","PeriodicalId":48809,"journal":{"name":"Journal of Biological Dynamics","volume":"20 1","pages":"2713881"},"PeriodicalIF":2.7000,"publicationDate":"2026-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biological Dynamics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/17513758.2026.2713881","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/8 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The threshold interpretation of can fail to describe elimination in epidemic models with imperfect vaccination and reinfection. We study an SEIRV model in which vaccinated individuals remain partially susceptible and recovered individuals may be reinfected. The main novelty is an explicit threshold account of how reinfection can sustain endemic equilibria even when the vaccinated-population reproduction number satisfies . We derive the disease-free equilibrium, , and a sufficient condition for convergence to the disease-free state, showing why local disease-free stability and global elimination are distinct. We reduce the endemic-equilibrium problem to a scalar equation and identify a reinfection threshold determining the local direction of bifurcation at . When , we prove a lower critical threshold separating elimination from subcritical endemic persistence. We also give an efficient-vaccine approximation and general numerical algorithm for computing . Simulations using an illustrative Omicron-era parameterisation show how these thresholds organise the model dynamics.
期刊介绍:
Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.