Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey

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dc.contributor.authorRiquelme, Fabián
dc.contributor.authorAguilera, Ana
dc.contributor.authorInostrosa-Psijas, Alonso
dc.date.accessioned2022-11-30T02:46:51Z
dc.date.available2022-11-30T02:46:51Z
dc.date.issued2021
dc.description.abstractThe COVID-19 pandemic has generated a huge volume of research from various disciplines, such as health sciences, social sciences, mathematical modeling, social network analysis, complex systems, decision-making processes, computer simulation, economics, among many others. One of the key problems has been to understand the diffusion processes of the virus, which quickly spread worldwide through transport networks, mainly air flights. Almost two years after start the pandemic, it is necessary to collect and synthesize the existing work on this matter. This work focuses on studies related to the COVID-19 contagion simulation through transport networks. In particular, we are specially interested in the different datasets and epidemiological models used. The search methodology consists of four exhaustive searches in Google Scholar carried out between January 2020 and January 2021. Of the 1786 findings, we chose 53 articles related to Covid-19 contagion modeling and simulation through transport networks. The results show 30 different data sources for the collection of air flights and 11 additional sources for maritime and land transport. These datasets are usually complemented with other data sources, local and international, with demographic information, economic data, and statistics of traceability of the pandemic. The findings also found 15 spread models of contagion, with the SEIR model being the most widely used, followed by mathematical-based risk models. This diversity of results validates the need for these types of compilation efforts since researchers do not have a single centralized repository to collect air flight data.en_ES
dc.facultadFacultad de Ingenieríaen_ES
dc.file.nameRiquelme_Con2021.pdf
dc.identifier.citationF. Riquelme, A. Aguilera and A. Inostrosa-Psijas, "Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey," in IEEE Access, vol. 9, pp. 149529-149541, 2021, doi: 10.1109/ACCESS.2021.3123892.en_ES
dc.identifier.doi10.1109/ACCESS.2021.3123892
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7512
dc.languageen
dc.publisherIEEE
dc.rightsUnder a Creative Commons License
dc.sourceIEEE Access
dc.subjectATMOSPHERIC MODELINGen_ES
dc.subjectCOVID-19en_ES
dc.subjectBIOLOGICAL SYSTEM MODELINGen_ES
dc.subjectAIRPORTSen_ES
dc.subjectPANDEMICSen_ES
dc.subjectCORONAVIRUSESen_ES
dc.subjectMATHEMATICAL MODELSen_ES
dc.titleContagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
dc.typeArticulo
uv.departamentoEscuela de Ingenieria Informatica

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