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Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan
The Japanese government adopted policies to control human mobility in 2020 to prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). The present study examined the impact of human mobility on COVID-19 cases at the prefectural level in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810243/ https://www.ncbi.nlm.nih.gov/pubmed/36596837 http://dx.doi.org/10.1038/s41598-022-27322-4 |
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author | Kawakami, Yuta Nojiri, Shuko Nakamoto, Daisuke Irie, Yoshiki Miyazawa, Satoshi Kuroki, Manabu Nishizaki, Yuji |
author_facet | Kawakami, Yuta Nojiri, Shuko Nakamoto, Daisuke Irie, Yoshiki Miyazawa, Satoshi Kuroki, Manabu Nishizaki, Yuji |
author_sort | Kawakami, Yuta |
collection | PubMed |
description | The Japanese government adopted policies to control human mobility in 2020 to prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). The present study examined the impact of human mobility on COVID-19 cases at the prefectural level in Japan by devising an indicator to have a relationship between the number of infected people and on human mobility. We calculated origin–destination travel mobility within prefectures in Japan from March 1st to December 31st, 2020, using mobile phone data. A cross-correlation function (CCF) was used to examine the relationship between human mobility and a COVID-19 infection acceleration indicator (IAI), which represents the rate of change in the speed of COVID-19 infection. The CCF of intraprefectural human mobility and the IAI in Tokyo showed a maximum value of 0.440 at lag day 12, and the IAI could be used as an indicator to predict COVID-19 cases. Therefore, the IAI and human mobility during the COVID-19 pandemic were useful for predicting infection status. The number of COVID-19 cases was associated with human mobility at the prefectural level in Japan in 2020. Controlling human mobility could help control infectious diseases in a pandemic, especially prior to starting vaccination. |
format | Online Article Text |
id | pubmed-9810243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98102432023-01-04 Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan Kawakami, Yuta Nojiri, Shuko Nakamoto, Daisuke Irie, Yoshiki Miyazawa, Satoshi Kuroki, Manabu Nishizaki, Yuji Sci Rep Article The Japanese government adopted policies to control human mobility in 2020 to prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). The present study examined the impact of human mobility on COVID-19 cases at the prefectural level in Japan by devising an indicator to have a relationship between the number of infected people and on human mobility. We calculated origin–destination travel mobility within prefectures in Japan from March 1st to December 31st, 2020, using mobile phone data. A cross-correlation function (CCF) was used to examine the relationship between human mobility and a COVID-19 infection acceleration indicator (IAI), which represents the rate of change in the speed of COVID-19 infection. The CCF of intraprefectural human mobility and the IAI in Tokyo showed a maximum value of 0.440 at lag day 12, and the IAI could be used as an indicator to predict COVID-19 cases. Therefore, the IAI and human mobility during the COVID-19 pandemic were useful for predicting infection status. The number of COVID-19 cases was associated with human mobility at the prefectural level in Japan in 2020. Controlling human mobility could help control infectious diseases in a pandemic, especially prior to starting vaccination. Nature Publishing Group UK 2023-01-03 /pmc/articles/PMC9810243/ /pubmed/36596837 http://dx.doi.org/10.1038/s41598-022-27322-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Kawakami, Yuta Nojiri, Shuko Nakamoto, Daisuke Irie, Yoshiki Miyazawa, Satoshi Kuroki, Manabu Nishizaki, Yuji Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title | Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title_full | Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title_fullStr | Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title_full_unstemmed | Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title_short | Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan |
title_sort | novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in japan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810243/ https://www.ncbi.nlm.nih.gov/pubmed/36596837 http://dx.doi.org/10.1038/s41598-022-27322-4 |
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