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dc.contributor.authorNavarro Lopez, Eva
dc.contributor.authorCabukoglu, Nurdan
dc.date.accessioned2021-05-20T10:28:22Z
dc.date.available2021-05-20T10:28:22Z
dc.date.issued2021-12-31
dc.identifier.citationNavarro-López, E.M. and Cabukoglu, N. (in press) A novel hybrid automaton framework for multi-phase epidemic modelling. 2021 Annual Modelling and Simulation Conference, 19th-22nd July, 2021. George Mason University, Fairfax, Virginia.en
dc.identifier.urihttp://hdl.handle.net/2436/624071
dc.descriptionThis is an accepted manuscript of an article published by SCS (in press). The accepted version of the publication may differ from the final published version.en
dc.description.abstractA framework for the multi-phase epidemic modelling of SEIARD (Susceptible-Exposed-symptomatic Infectious-Asymptomatic infectious-Recovered by immunity or by vaccination-Dead due to the disease) subpopulations is produced with switching transmission rate, basic reproduction ratio and vaccination strategy. Thekey novel featureof our modelis that we reproduce the different phasesof theevolutionof the infectious diseasebyusingahybrid automatonwithdifferent discrete locations correspondingtoeachof the phases of the disease. This is a general modelling framework applicable to the spreading of infectious diseases.We showhow the proposed modelworks with the simulationof different scenarios.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherSCS (The Society of Modeling & Simulation International)en
dc.relation.urlhttps://scs.org/annsim/en
dc.subjectepidemicsen
dc.subjecthybrid automataen
dc.subjectswitching disease phasesen
dc.subjectdynamical modelsen
dc.titleA novel hybrid automaton framework for multi-phase epidemic modellingen
dc.typeConference contributionen
dc.date.updated2021-05-17T10:03:24Z
dc.conference.nameThe 2021 Annual Modeling and Simulation Conference (ANNSIM’21).Track: Modelling and Simulation in Medicine (MSM)
dc.conference.locationGeorge Mason University, Fairfax, Virginia, USA (hybrid event)
pubs.finish-date2021-05-22
pubs.start-date2021-07-19
dc.date.accepted2021-05-05
rioxxterms.funderUniversity of wolverhamptonen
rioxxterms.identifier.projectUOW20052021ENLen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2022-12-31en
refterms.dateFCD2021-05-20T10:27:56Z
refterms.versionFCDAM


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