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A novel hybrid automaton framework for multi-phase epidemic modelling
Cabukoglu, Nurdan
Cabukoglu, Nurdan
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2021-10-05
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Abstract
A 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.
Citation
E. M. Navarro-López and N. Çabukoğlu, (2021) "A Novel Hybrid Automaton Framework for Multi-Phase Epidemic Modelling," in Ruiz Martín, C., Blas, M.J. & Inostrosa-Psijas, A. (Eds.) Proceedings of the 2021 Annual Modeling and Simulation Conference (ANNSIM’21), July 19-22, 2021, Virtual Event, pp. 1-12, doi: 10.23919/ANNSIM52504.2021.9552167.
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en
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This is an accepted manuscript of an article published by IEEE on behalf of SCS on 05/10/2021, available online: https://ieeexplore.ieee.org/document/9552167
The accepted version of the publication may differ from the final published version.
Proceedings also published in Simulation Series Vol 53, 2 by Curran Associates, Inc. in September 2021. ISBN: 9781713831402.
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9781565553750