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解析一类SIS和SIR传染病模型的稳定性 Title:StabilityanalysisofSISandSIRepidemicmodels Abstract: Epidemicmodelsplayacrucialroleinunderstandingandcontrollingthespreadofinfectiousdiseases.TwocommonlyusedmodelsaretheSIS(Susceptible-Infectious-Susceptible)andSIR(Susceptible-Infectious-Recovered)models.Thispaperpresentsacomprehensivestabilityanalysisofthesemodels,exploringtheconditionsunderwhichepidemicscanbecontrolledorcontinuetospread. 1.Introduction Infectiousdiseaseshavealwaysbeenamajorconcernforpublichealth.Understandingthedynamicsofdiseasespreadisessentialfordevelopingeffectivestrategiesforpreventionandcontrol.Mathematicalmodels,suchastheSISandSIRmodels,provideinsightintothedynamicsofepidemicsandallowustostudytheeffectivenessofvariousinterventionstrategies.Thispaperaimstoanalyzethestabilityofthesemodelstogainabetterunderstandingoftheirbehavior. 2.SISmodel TheSISmodelisasimplerepresentationofepidemicswhereindividualscantransitionbetweentwostates:susceptibleandinfectious.Thestabilityofthismodelreliesontwokeyparameters:thetransmissionrate(beta)andtherecoveryrate(gamma).Thissectionexplorestheconditionsunderwhichthediseasediesout(stableequilibrium)orpersistsinthepopulation(unstableequilibrium). 3.StabilityanalysisofSISmodel ThestabilityanalysisinvolvesthelinearizationoftheSISdynamicequationsaroundtheequilibriumpoint.ByanalyzingtheeigenvaluesoftheJacobianmatrix,wecandeterminethestabilityofthesystem.Stabilityregionsintheparameterspacearepresented,indicatingtheconditionsfordiseasecontrolorpersistence. 4.SIRmodel TheSIRmodelextendstheSISmodelbyintroducingarecoveredstate.Individualswhorecoverfromthediseasegainimmunity,preventingreinfection.ThissectionoutlinesthedynamicsoftheSIRmodelandinvestigatesthestabilityconditionsfordiseaseeliminationorendemicequilibrium. 5.StabilityanalysisofSIRmodel SimilartotheSISmodel,thestabilityanalysisoftheSIRmodelinvolveslinearizationandeigenvalueanalysis.Thestabilityregionsintheparameterspacearedetermined,illustratingtheconditionsfordiseasecontrolorpersistence.