A novel hybrid automaton framework for multi-phase epidemic modelling
Editors
Ruiz Martín, CristinaBlas, Maria Julia
Inostrosa-Psijas, Alonso
Issue Date
2021-10-05
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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.Additional Links
https://ieeexplore.ieee.org/document/9552167Type
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enDescription
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.ISBN
9781565553750ae974a485f413a2113503eed53cd6c53
10.23919/ANNSIM52504.2021.9552167
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/