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Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan

An analysis of the national traffic collision trends in Japan for the January 2018 to June 2022 period using existing statistical data indicates that the number of traffic incidents, injuries, and fatalities decreased over time. After the outbreak of COVID-19 in December 2019, traffic volume decreas...

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Detalles Bibliográficos
Autores principales: Shimada, Ryo, Kibayashi, Kazuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754189/
https://www.ncbi.nlm.nih.gov/pubmed/36520824
http://dx.doi.org/10.1371/journal.pone.0278941
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author Shimada, Ryo
Kibayashi, Kazuhiko
author_facet Shimada, Ryo
Kibayashi, Kazuhiko
author_sort Shimada, Ryo
collection PubMed
description An analysis of the national traffic collision trends in Japan for the January 2018 to June 2022 period using existing statistical data indicates that the number of traffic incidents, injuries, and fatalities decreased over time. After the outbreak of COVID-19 in December 2019, traffic volume decreased. In this study, to explore how the COVID-19 pandemic correlates with traffic collisions, we used the Spearman rank correlation of non-parametric statistical test to compare the number of COVID-19 infections with the number of traffic collisions. The number of COVID-19 infections showed a significant inverse correlation with the number of traffic collisions nationwide, in some regions, and in some prefectures. When the number of COVID-19 infections increased, a State of Emergency or Semi-Emergency Spread Prevention Measures were repeatedly declared. We submit that these measures along with the restrictions on the population’s autonomy and movement to prevent the spread of infection, reduces the number of traffic incidents, injuries, and fatalities owing to a decrease in traffic volume. Therefore, these lessons learned from the COVID-19 pandemic advocate that regulation of vehicle traffic volume is an effective means of reducing the occurrence of traffic collisions. These results can be applied to future policy development to support road safety improvements during unique events.
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spelling pubmed-97541892022-12-16 Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan Shimada, Ryo Kibayashi, Kazuhiko PLoS One Research Article An analysis of the national traffic collision trends in Japan for the January 2018 to June 2022 period using existing statistical data indicates that the number of traffic incidents, injuries, and fatalities decreased over time. After the outbreak of COVID-19 in December 2019, traffic volume decreased. In this study, to explore how the COVID-19 pandemic correlates with traffic collisions, we used the Spearman rank correlation of non-parametric statistical test to compare the number of COVID-19 infections with the number of traffic collisions. The number of COVID-19 infections showed a significant inverse correlation with the number of traffic collisions nationwide, in some regions, and in some prefectures. When the number of COVID-19 infections increased, a State of Emergency or Semi-Emergency Spread Prevention Measures were repeatedly declared. We submit that these measures along with the restrictions on the population’s autonomy and movement to prevent the spread of infection, reduces the number of traffic incidents, injuries, and fatalities owing to a decrease in traffic volume. Therefore, these lessons learned from the COVID-19 pandemic advocate that regulation of vehicle traffic volume is an effective means of reducing the occurrence of traffic collisions. These results can be applied to future policy development to support road safety improvements during unique events. Public Library of Science 2022-12-15 /pmc/articles/PMC9754189/ /pubmed/36520824 http://dx.doi.org/10.1371/journal.pone.0278941 Text en © 2022 Shimada, Kibayashi https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shimada, Ryo
Kibayashi, Kazuhiko
Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title_full Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title_fullStr Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title_full_unstemmed Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title_short Changes in the number of traffic collisions during the various waves of COVID-19 infection in Japan
title_sort changes in the number of traffic collisions during the various waves of covid-19 infection in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754189/
https://www.ncbi.nlm.nih.gov/pubmed/36520824
http://dx.doi.org/10.1371/journal.pone.0278941
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