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Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility
Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google’s m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289815/ https://www.ncbi.nlm.nih.gov/pubmed/34282180 http://dx.doi.org/10.1038/s41598-021-94060-4 |
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author | Wang, Shaobin Tong, Yun Fan, Yupeng Liu, Haimeng Wu, Jun Wang, Zheye Fang, Chuanglin |
author_facet | Wang, Shaobin Tong, Yun Fan, Yupeng Liu, Haimeng Wu, Jun Wang, Zheye Fang, Chuanglin |
author_sort | Wang, Shaobin |
collection | PubMed |
description | Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google’s mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-8289815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82898152021-07-21 Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility Wang, Shaobin Tong, Yun Fan, Yupeng Liu, Haimeng Wu, Jun Wang, Zheye Fang, Chuanglin Sci Rep Article Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google’s mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic. Nature Publishing Group UK 2021-07-19 /pmc/articles/PMC8289815/ /pubmed/34282180 http://dx.doi.org/10.1038/s41598-021-94060-4 Text en © The Author(s) 2021 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 Wang, Shaobin Tong, Yun Fan, Yupeng Liu, Haimeng Wu, Jun Wang, Zheye Fang, Chuanglin Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title | Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title_full | Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title_fullStr | Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title_full_unstemmed | Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title_short | Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility |
title_sort | observing the silent world under covid-19 with a comprehensive impact analysis based on human mobility |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289815/ https://www.ncbi.nlm.nih.gov/pubmed/34282180 http://dx.doi.org/10.1038/s41598-021-94060-4 |
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