Probabilistic Model Checking of Disease Spread and Prevention

Probabilistic Model Checking of Disease Spread and Prevention

ID:40696793

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页数:18页

时间:2019-08-06

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1、ProbabilisticModelCheckingofDiseaseSpreadandPreventionSamuelHuangScholarlyPaperfortheDegreeofMastersinScienceAbstractThisworkinvestigatesthebenefitsofmodelcheckinguponcontactnetworks,amodelofdiseasetransmissionthroughapopulation.Manysuchmodelsareprob-abilistic

2、indesign,andthusamodelcheckerframeworkthatsupportsrandomnessisimportant.Wedemonstratehowtocharacterizeadiseaseasitisspreadintermsoftheportionsofthepopulationthatitaffects,aswellashowtoevaluateandexplorepreventativeandcontrolledmeasurestolimitthedisease’seffects

3、.Forthepurposesofthiswork,wefocusuponseveraldifferentvaccinationstrategies.Wealsoexplorethesensitivityofourframeworkthatinvolvesusingaprobabilisticmodelcheckerhastochangesintheunderlyingdiseasetransmissionmodel;weshowthatmanydesirablepropertiesandtraitsthatone

4、mightwanttoincludeareeasilyrepresentableusingourapproaches.1IntroductionAdvancesinepidemiology,thestudyoffactorsaffectinghealthandillnessofpopulations,canbedirectlybeneficialtohumansociety.Alargesubfieldofepidemiologicalresearchfocusesuponthepreventionandcontrol

5、ofdiseasepropagationthroughapopulation.Inparticular,theyareconcernedwith:•Outbreakinvestigation•Modeling•DatacollectionandanalysisDevelopinganaccurateandappropriatemodelforthepurposeofinvestigatingandpre-dictingdiseaseoutbreaksisactivelybeingpursued.Ifadiseas

6、ewerepredictedtobecomerampantinthenearfuture,onewouldliketodeterminethepropercauseofactiontoavoidorotherwisereducetheimpactthediseasewouldhaveuponthepopulationunder1study.Ifoneisstudyingrecordsofanalreadypasseddisease’sprogressionthroughapopulation,anaturalco

7、ncernmaybeastohow/wherethediseaseoriginated.Inthisworkweconsidertheusefulnessofapplyingexistingmodelcheckingbasedapproachestoproblemsposedbyepidemiology,specificallythosefocusingondiseasepreventionandcontrol.Traditionalmodelcheckingalgorithmsworkoverdeterminis

8、-ticstructures,whereasso-calledprobabilisticmodelcheckingrelaxesthedeterminismassumptiontoallowformodelswithuncertainty,orprobabilisticbehavior[5].Bothtraditionalandprobabilisticmodelchec

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