A modeling and simulation platform for space-based compartmental modeling of pandemic spread

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dc.contributor.authorCárdenas, Román
dc.contributor.authorInostrosa-Psijas, Alonso
dc.contributor.authorWainer, Gabriel
dc.date.accessioned2022-11-30T02:46:14Z
dc.date.available2022-11-30T02:46:14Z
dc.date.issued2021
dc.description.abstractThe COVID-19 outbreak has shown that Modeling and Simulation (M&S) methodologies are an important aspect to study the spread of the disease and assess the effect of different measures to diminish its negative effect. Although traditional models have been widely used, there is a need to build new, highly configurable disease models to explore multiple scenarios quickly. We present an M&S framework to perform rapid prototyping of pandemic spread using the Cell-DEVS space-based discrete-event modeling approach. This method supports age segmentation of the population, hospital-capacity-dependent deaths, and enforcing mobility restriction policies. This method is useful for studying the spread of the disease, as well as combining the simulation results with different visualization tools.en_ES
dc.facultadFacultad de Ingenieríaen_ES
dc.file.nameCardenas_Mod2021.pdf
dc.identifier.citationR. Cárdenas, A. Inostrosa-Psijas and G. Wainer, "A Modeling and Simulation Platform for Space-Based Compartmental Modeling of Pandemic Spread," 2021 Annual Modeling and Simulation Conference (ANNSIM), 2021, pp. 1-12, doi: 10.23919/ANNSIM52504.2021.9552046.en_ES
dc.identifier.doi10.23919/ANNSIM52504.2021.9552046
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7265
dc.languageen
dc.publisherIEEE
dc.sourceAnnual Modeling and Simulation Conference (ANNSIM)
dc.subjectCOVID-19en_ES
dc.subjectPANDEMICSen_ES
dc.subjectSIMULATIONen_ES
dc.subjectSOCIOLOGYen_ES
dc.subjectURBAN AREASen_ES
dc.subjectTOOLSen_ES
dc.subjectRAPID PROTOTYPINGen_ES
dc.titleA modeling and simulation platform for space-based compartmental modeling of pandemic spread
dc.typeArticulo
uv.departamentoEscuela de Ingenieria Informatica
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