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

The 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...

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Autores principales:	Fabian Riquelme, Ana Aguilera, Alonso Inostrosa-Psijas
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	COVID-19 epidemiological model contagion network contagion simulation air travelling Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/96a7ac89ddc64d00a779af00f0de9f00
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spelling	oai:doaj.org-article:96a7ac89ddc64d00a779af00f0de9f002021-11-24T00:00:25ZContagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey2169-353610.1109/ACCESS.2021.3123892https://doaj.org/article/96a7ac89ddc64d00a779af00f0de9f002021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591596/https://doaj.org/toc/2169-3536The 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.Fabian RiquelmeAna AguileraAlonso Inostrosa-PsijasIEEEarticleCOVID-19epidemiological modelcontagion networkcontagion simulationair travellingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149529-149541 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 epidemiological model contagion network contagion simulation air travelling Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	COVID-19 epidemiological model contagion network contagion simulation air travelling Electrical engineering. Electronics. Nuclear engineering TK1-9971 Fabian Riquelme Ana Aguilera Alonso Inostrosa-Psijas Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
description	The 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.
format	article
author	Fabian Riquelme Ana Aguilera Alonso Inostrosa-Psijas
author_facet	Fabian Riquelme Ana Aguilera Alonso Inostrosa-Psijas
author_sort	Fabian Riquelme
title	Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
title_short	Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
title_full	Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
title_fullStr	Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
title_full_unstemmed	Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey
title_sort	contagion modeling and simulation in transport and air travel networks during the covid-19 pandemic: a survey
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/96a7ac89ddc64d00a779af00f0de9f00
work_keys_str_mv	AT fabianriquelme contagionmodelingandsimulationintransportandairtravelnetworksduringthecovid19pandemicasurvey AT anaaguilera contagionmodelingandsimulationintransportandairtravelnetworksduringthecovid19pandemicasurvey AT alonsoinostrosapsijas contagionmodelingandsimulationintransportandairtravelnetworksduringthecovid19pandemicasurvey
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Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey

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