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一类带有脉冲免疫TB模型的稳定性分析(英文) StabilityAnalysisofaPulseImmuneTBModel Tuberculosis(TB)isaseriousinfectiousdiseasethataffectsmillionsofpeopleeveryyear.Sincetheadventofantibiotics,thetreatmentofTBhasbecomeeasier.However,theemergenceofdrug-resistantstrainsofthediseasehascomplicatedthesituation,leadingtothedevelopmentofnewtreatmentstrategies.Inrecentyears,mathematicalmodelinghasbeenusedtostudythedynamicsofTBinfectionandtodevelopnewtreatmentprotocols. Inthispaper,wepresentapulseimmuneTBmodelthatincorporatestheeffectsofimmuneboostingtreatments.Themodelisrepresentedbyasystemofdifferentialequationsthatcapturetheinteractionsbetweenthesusceptible,latent,andactiveTBpopulations,aswellastheimmuneresponsetothedisease.WethenperformastabilityanalysisofthemodeltoinvestigatethedynamicsofTBinfectionunderdifferenttreatmentregimes. ThestabilityofthemodelisdeterminedbyanalyzingtheeigenvaluesoftheJacobianmatrix,whichrepresentsthelinearizedsystemofequationsaroundthedisease-freeequilibriumpoint.UsingtheRouth-Hurwitzcriterion,weshowthatthedisease-freeequilibriumpointisgloballyasymptoticallystableforarangeofparametervalues.ThisimpliesthattheTBepidemiccanbecontrolledbypreventingthetransmissionofthedisease. Wethenconsidertheeffectsofpulseimmuneboostingtreatmentsonthedynamicsofthemodel.Thesetreatmentssimulatetheadministrationofdrugsthatboosttheimmuneresponsetothedisease.Weshowthatthestabilityofthemodeldependsonthefrequencyandstrengthofthepulsetreatments,aswellasonthetimingofthepulses.Specifically,wefindthattherearecriticalvaluesofthepulsefrequencyandstrengthbelowwhichthedisease-freeequilibriumpointbecomesunstable,leadingtotheemergenceofendemicTB.Furthermore,weshowthatthetimingofthepulsescanhaveasignificanteffectonthestabilityofthemodel,withearlyorlatepulsesleadingtodestabilizationofthesystem. OurresultssuggestthatpulseimmuneboostingtreatmentscanbeaneffectivetoolforcontrollingTBoutbreaks,butcautionmustbetakenindesigningthetreatmentprotocols.Thefrequencyandstrengthofthepulsesmustbecarefullycontrolledtoavo