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The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan
The suppression of the first wave of COVID-19 in Japan is assumedly attributed to people’s increased risk perception after acquiring information from the government and media reports. In this study, going out in public amidst the spread of COVID-19 infections was investigated by examining new polyme...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135210/ https://www.ncbi.nlm.nih.gov/pubmed/35617292 http://dx.doi.org/10.1371/journal.pone.0266342 |
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author | Takahashi, Hiromichi Terada, Iori Higuchi, Takuya Takada, Daisuke Shin, Jung-ho Kunisawa, Susumu Imanaka, Yuichi |
author_facet | Takahashi, Hiromichi Terada, Iori Higuchi, Takuya Takada, Daisuke Shin, Jung-ho Kunisawa, Susumu Imanaka, Yuichi |
author_sort | Takahashi, Hiromichi |
collection | PubMed |
description | The suppression of the first wave of COVID-19 in Japan is assumedly attributed to people’s increased risk perception after acquiring information from the government and media reports. In this study, going out in public amidst the spread of COVID-19 infections was investigated by examining new polymerase chain reaction (PCR) positive cases of COVID-19 and its relationship to four indicators of people going out in public (the people flow, the index of web searches for going outside, the number of times people browse restaurants, and the number of hotel guests, from the Regional Economic and Social Analysis System (V-RESAS). Two waves of COVID-19 infections were examined using cross-correlation analysis. In the first wave, all four indicators of going out changed to be opposite the change in new PCR positive cases, showing a lag period of –1 to +6 weeks. In the second wave, the same relationship was only observed for the index of web searches for going outside, and two indicators showed the positive lag period of +6 to +12 weeks after the change in new PCR positive cases. Moreover, each indicator in the second wave changed differently compared to the first wave. The complexity of people’s behaviors around going out increased in the second wave, when policies and campaigns were implemented and people’s attitudes were thought to have changed. In conclusion, the results suggest that policies may have influenced people’s mobility, rather than the number of new PCR positive cases. |
format | Online Article Text |
id | pubmed-9135210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-91352102022-05-27 The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan Takahashi, Hiromichi Terada, Iori Higuchi, Takuya Takada, Daisuke Shin, Jung-ho Kunisawa, Susumu Imanaka, Yuichi PLoS One Research Article The suppression of the first wave of COVID-19 in Japan is assumedly attributed to people’s increased risk perception after acquiring information from the government and media reports. In this study, going out in public amidst the spread of COVID-19 infections was investigated by examining new polymerase chain reaction (PCR) positive cases of COVID-19 and its relationship to four indicators of people going out in public (the people flow, the index of web searches for going outside, the number of times people browse restaurants, and the number of hotel guests, from the Regional Economic and Social Analysis System (V-RESAS). Two waves of COVID-19 infections were examined using cross-correlation analysis. In the first wave, all four indicators of going out changed to be opposite the change in new PCR positive cases, showing a lag period of –1 to +6 weeks. In the second wave, the same relationship was only observed for the index of web searches for going outside, and two indicators showed the positive lag period of +6 to +12 weeks after the change in new PCR positive cases. Moreover, each indicator in the second wave changed differently compared to the first wave. The complexity of people’s behaviors around going out increased in the second wave, when policies and campaigns were implemented and people’s attitudes were thought to have changed. In conclusion, the results suggest that policies may have influenced people’s mobility, rather than the number of new PCR positive cases. Public Library of Science 2022-05-26 /pmc/articles/PMC9135210/ /pubmed/35617292 http://dx.doi.org/10.1371/journal.pone.0266342 Text en © 2022 Takahashi et al 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 Takahashi, Hiromichi Terada, Iori Higuchi, Takuya Takada, Daisuke Shin, Jung-ho Kunisawa, Susumu Imanaka, Yuichi The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title | The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title_full | The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title_fullStr | The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title_full_unstemmed | The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title_short | The relationship between new PCR positive cases and going out in public during the COVID-19 epidemic in Japan |
title_sort | relationship between new pcr positive cases and going out in public during the covid-19 epidemic in japan |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135210/ https://www.ncbi.nlm.nih.gov/pubmed/35617292 http://dx.doi.org/10.1371/journal.pone.0266342 |
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