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Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?

COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, st...

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Autores principales: Zhang, Nan, Hu, Tingrui, Shang, Shujia, Zhang, Shiyao, Jia, Wei, Chen, Jinhang, Zhang, Zixuan, Su, Boni, Wang, Zhenyu, Cheng, Reynold, Li, Yuguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850857/
https://www.ncbi.nlm.nih.gov/pubmed/36694823
http://dx.doi.org/10.1016/j.trip.2023.100757
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author Zhang, Nan
Hu, Tingrui
Shang, Shujia
Zhang, Shiyao
Jia, Wei
Chen, Jinhang
Zhang, Zixuan
Su, Boni
Wang, Zhenyu
Cheng, Reynold
Li, Yuguo
author_facet Zhang, Nan
Hu, Tingrui
Shang, Shujia
Zhang, Shiyao
Jia, Wei
Chen, Jinhang
Zhang, Zixuan
Su, Boni
Wang, Zhenyu
Cheng, Reynold
Li, Yuguo
author_sort Zhang, Nan
collection PubMed
description COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron.
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spelling pubmed-98508572023-01-20 Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue? Zhang, Nan Hu, Tingrui Shang, Shujia Zhang, Shiyao Jia, Wei Chen, Jinhang Zhang, Zixuan Su, Boni Wang, Zhenyu Cheng, Reynold Li, Yuguo Transp Res Interdiscip Perspect Article COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron. The Author(s). Published by Elsevier Ltd. 2023-03 2023-01-19 /pmc/articles/PMC9850857/ /pubmed/36694823 http://dx.doi.org/10.1016/j.trip.2023.100757 Text en © 2023 The Author(s) 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
Zhang, Nan
Hu, Tingrui
Shang, Shujia
Zhang, Shiyao
Jia, Wei
Chen, Jinhang
Zhang, Zixuan
Su, Boni
Wang, Zhenyu
Cheng, Reynold
Li, Yuguo
Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title_full Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title_fullStr Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title_full_unstemmed Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title_short Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
title_sort local travel behaviour under continuing covid-19 waves– a proxy for pandemic fatigue?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850857/
https://www.ncbi.nlm.nih.gov/pubmed/36694823
http://dx.doi.org/10.1016/j.trip.2023.100757
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