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COVID-19, stigma, and habituation: evidence from mobility data

BACKGROUND: The Japanese government has restricted people’s going-out behavior by declaring a non-punitive state of emergency several times under COVID-19. This study aims to analyze how multiple policy interventions that impose non-legally binding restrictions on behavior associate with people’s go...

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Autores principales: Kurita, Kenichi, Katafuchi, Yuya, Managi, Shunsuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839212/
https://www.ncbi.nlm.nih.gov/pubmed/36639781
http://dx.doi.org/10.1186/s12889-023-14980-w
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author Kurita, Kenichi
Katafuchi, Yuya
Managi, Shunsuke
author_facet Kurita, Kenichi
Katafuchi, Yuya
Managi, Shunsuke
author_sort Kurita, Kenichi
collection PubMed
description BACKGROUND: The Japanese government has restricted people’s going-out behavior by declaring a non-punitive state of emergency several times under COVID-19. This study aims to analyze how multiple policy interventions that impose non-legally binding restrictions on behavior associate with people’s going-out. THEORY: This study models the stigma model of self-restraint behavior under the pandemic with habituation effects. The theoretical result indicates that the state of emergency’s self-restraint effects weaken with the number of times. METHODS: The empirical analysis examines the impact of emergency declarations on going-out behavior using a prefecture-level daily panel dataset. The dataset includes Google’s going-out behavior data, the Japanese government’s policy interventions based on emergency declarations, and covariates that affect going-out behavior, such as weather and holidays. RESULTS: First, for multiple emergency declarations from the beginning of the pandemic to 2021, the negative association between emergency declarations and mobility was confirmed in a model that did not distinguish the number of emergency declarations. Second, in the model that considers the number of declarations, the negative association was found to decrease with the number of declarations. CONCLUSION: These empirical analyses are consistent with the results of theoretical analyses, which show that the negative association between people’s going-out behavior and emergency declarations decreases in magnitude as the number of declarations increases.
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spelling pubmed-98392122023-01-15 COVID-19, stigma, and habituation: evidence from mobility data Kurita, Kenichi Katafuchi, Yuya Managi, Shunsuke BMC Public Health Research BACKGROUND: The Japanese government has restricted people’s going-out behavior by declaring a non-punitive state of emergency several times under COVID-19. This study aims to analyze how multiple policy interventions that impose non-legally binding restrictions on behavior associate with people’s going-out. THEORY: This study models the stigma model of self-restraint behavior under the pandemic with habituation effects. The theoretical result indicates that the state of emergency’s self-restraint effects weaken with the number of times. METHODS: The empirical analysis examines the impact of emergency declarations on going-out behavior using a prefecture-level daily panel dataset. The dataset includes Google’s going-out behavior data, the Japanese government’s policy interventions based on emergency declarations, and covariates that affect going-out behavior, such as weather and holidays. RESULTS: First, for multiple emergency declarations from the beginning of the pandemic to 2021, the negative association between emergency declarations and mobility was confirmed in a model that did not distinguish the number of emergency declarations. Second, in the model that considers the number of declarations, the negative association was found to decrease with the number of declarations. CONCLUSION: These empirical analyses are consistent with the results of theoretical analyses, which show that the negative association between people’s going-out behavior and emergency declarations decreases in magnitude as the number of declarations increases. BioMed Central 2023-01-13 /pmc/articles/PMC9839212/ /pubmed/36639781 http://dx.doi.org/10.1186/s12889-023-14980-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kurita, Kenichi
Katafuchi, Yuya
Managi, Shunsuke
COVID-19, stigma, and habituation: evidence from mobility data
title COVID-19, stigma, and habituation: evidence from mobility data
title_full COVID-19, stigma, and habituation: evidence from mobility data
title_fullStr COVID-19, stigma, and habituation: evidence from mobility data
title_full_unstemmed COVID-19, stigma, and habituation: evidence from mobility data
title_short COVID-19, stigma, and habituation: evidence from mobility data
title_sort covid-19, stigma, and habituation: evidence from mobility data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839212/
https://www.ncbi.nlm.nih.gov/pubmed/36639781
http://dx.doi.org/10.1186/s12889-023-14980-w
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