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A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective
PURPOSE: There are 47 municipalities and prefectures in Japan that operate similar COVID-19 policies in a unified manner. There are significant differences regarding their policy outcomes. In order to investigate when the outcomes are different, we made a COVID-19 policy outcome analysis tool, jpcov...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252164/ https://www.ncbi.nlm.nih.gov/pubmed/37363346 http://dx.doi.org/10.1007/s12553-023-00759-x |
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author | Miyagawa, Toshiki Takefuji, Yoshiyasu |
author_facet | Miyagawa, Toshiki Takefuji, Yoshiyasu |
author_sort | Miyagawa, Toshiki |
collection | PubMed |
description | PURPOSE: There are 47 municipalities and prefectures in Japan that operate similar COVID-19 policies in a unified manner. There are significant differences regarding their policy outcomes. In order to investigate when the outcomes are different, we made a COVID-19 policy outcome analysis tool, jpcovid for evaluating time-series scores of individual prefectures, not a policy analysis tool. METHODS: Scoring policies is based on a single population mortality metric: the number of COVID-19 deaths divided by the population in millions from a demographic perspective. RESULTS: Although uniformed policies have been adopted by the 47 prefectures in Japan, there are significant differences in the calculated scores among the 47 prefectures. This difference can be caused by differences in the herding instincts of the community with COVID-19 variants. The herd instinct is an inherent tendency to associate with others and follow the group's behavior or a behavior wherein people tend to react to the actions of others without considering the reason. The snapshot scoring tool, jpscore showed that Niigata has the best score of 67.9 while Osaka has the worst score of 727.9. jpcovid allows users to identify when herd instincts made changes in time-series scores. CONCLUSIONS: This is the world’s first large-scale measurement on the herd instinct of prefectures in Japan. The proposed method can be applied to other countries in general. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12553-023-00759-x. |
format | Online Article Text |
id | pubmed-10252164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-102521642023-06-12 A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective Miyagawa, Toshiki Takefuji, Yoshiyasu Health Technol (Berl) Original Paper PURPOSE: There are 47 municipalities and prefectures in Japan that operate similar COVID-19 policies in a unified manner. There are significant differences regarding their policy outcomes. In order to investigate when the outcomes are different, we made a COVID-19 policy outcome analysis tool, jpcovid for evaluating time-series scores of individual prefectures, not a policy analysis tool. METHODS: Scoring policies is based on a single population mortality metric: the number of COVID-19 deaths divided by the population in millions from a demographic perspective. RESULTS: Although uniformed policies have been adopted by the 47 prefectures in Japan, there are significant differences in the calculated scores among the 47 prefectures. This difference can be caused by differences in the herding instincts of the community with COVID-19 variants. The herd instinct is an inherent tendency to associate with others and follow the group's behavior or a behavior wherein people tend to react to the actions of others without considering the reason. The snapshot scoring tool, jpscore showed that Niigata has the best score of 67.9 while Osaka has the worst score of 727.9. jpcovid allows users to identify when herd instincts made changes in time-series scores. CONCLUSIONS: This is the world’s first large-scale measurement on the herd instinct of prefectures in Japan. The proposed method can be applied to other countries in general. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12553-023-00759-x. Springer Berlin Heidelberg 2023-06-09 /pmc/articles/PMC10252164/ /pubmed/37363346 http://dx.doi.org/10.1007/s12553-023-00759-x Text en © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Miyagawa, Toshiki Takefuji, Yoshiyasu A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title | A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title_full | A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title_fullStr | A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title_full_unstemmed | A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title_short | A time-series COVID-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
title_sort | time-series covid-19 policy outcome analysis tool to measure human behavior from a herd instinct perspective |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252164/ https://www.ncbi.nlm.nih.gov/pubmed/37363346 http://dx.doi.org/10.1007/s12553-023-00759-x |
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