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Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil

Modeling experts have been continually researching the interplay of human mobility and COVID-19 transmission since the outbreak of the pandemic. They tried to address this problem and support the control of the pandemic spreading at the national or regional levels. However, these modeling approaches...

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Autores principales: Peng, Yechennan, Rodriguez Lopez, Juan Miguel, Santos, Alexandre Pereira, Mobeen, Muhammad, Scheffran, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800815/
https://www.ncbi.nlm.nih.gov/pubmed/36597474
http://dx.doi.org/10.1016/j.cities.2022.104161
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author Peng, Yechennan
Rodriguez Lopez, Juan Miguel
Santos, Alexandre Pereira
Mobeen, Muhammad
Scheffran, Jürgen
author_facet Peng, Yechennan
Rodriguez Lopez, Juan Miguel
Santos, Alexandre Pereira
Mobeen, Muhammad
Scheffran, Jürgen
author_sort Peng, Yechennan
collection PubMed
description Modeling experts have been continually researching the interplay of human mobility and COVID-19 transmission since the outbreak of the pandemic. They tried to address this problem and support the control of the pandemic spreading at the national or regional levels. However, these modeling approaches had little success in producing empirically verifiable results at the neighborhood level due to a lack of data and limited representation of low spatial scales in the models. To fill this gap, this research aims to present an agent-based model to simulate human mobility choices in the context of COVID-19, based on social activities of individuals in the neighborhood. We apply the VIABLE model to the decision-making process of heterogeneous agents, who populate the system's environment. The agents adapt their mobility and activities autonomously at each iteration to improve their well-being and respond to exposure risks. The study reveals significant temporal variations in mobility choices between the groups of agents with different vulnerability levels under the Covid-19 pandemic. Agents from the same group with similar economic backgrounds tend to select the same mobility patterns and activities leading to segregation at this low scale. We calibrated the model with a focus on Porto Alegre in Brazil.
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spelling pubmed-98008152022-12-30 Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil Peng, Yechennan Rodriguez Lopez, Juan Miguel Santos, Alexandre Pereira Mobeen, Muhammad Scheffran, Jürgen Cities Article Modeling experts have been continually researching the interplay of human mobility and COVID-19 transmission since the outbreak of the pandemic. They tried to address this problem and support the control of the pandemic spreading at the national or regional levels. However, these modeling approaches had little success in producing empirically verifiable results at the neighborhood level due to a lack of data and limited representation of low spatial scales in the models. To fill this gap, this research aims to present an agent-based model to simulate human mobility choices in the context of COVID-19, based on social activities of individuals in the neighborhood. We apply the VIABLE model to the decision-making process of heterogeneous agents, who populate the system's environment. The agents adapt their mobility and activities autonomously at each iteration to improve their well-being and respond to exposure risks. The study reveals significant temporal variations in mobility choices between the groups of agents with different vulnerability levels under the Covid-19 pandemic. Agents from the same group with similar economic backgrounds tend to select the same mobility patterns and activities leading to segregation at this low scale. We calibrated the model with a focus on Porto Alegre in Brazil. Elsevier Ltd. 2023-03 2022-12-30 /pmc/articles/PMC9800815/ /pubmed/36597474 http://dx.doi.org/10.1016/j.cities.2022.104161 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Peng, Yechennan
Rodriguez Lopez, Juan Miguel
Santos, Alexandre Pereira
Mobeen, Muhammad
Scheffran, Jürgen
Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title_full Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title_fullStr Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title_full_unstemmed Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title_short Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil
title_sort simulating exposure-related human mobility behavior at the neighborhood-level under covid-19 in porto alegre, brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800815/
https://www.ncbi.nlm.nih.gov/pubmed/36597474
http://dx.doi.org/10.1016/j.cities.2022.104161
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