Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China
ABSTRACTMobility restriction measures were the main tools to control the spread of COVID-19, but the extent to which the mobility has decreased remained unsure. We investigated the change in local population mobility and its correlation with COVID-19 infections, using 1185 billion aggregated mobile...
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| Format: | Article |
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Taylor & Francis Group
2023-10-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2023.2246506 |
| _version_ | 1797310793267544064 |
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| author | Jizhe Xia Taicheng Li Zhaoyang Yu Erzhen Chen Yang Yue Zhen Li Ying Zhou |
| author_facet | Jizhe Xia Taicheng Li Zhaoyang Yu Erzhen Chen Yang Yue Zhen Li Ying Zhou |
| author_sort | Jizhe Xia |
| collection | DOAJ |
| description | ABSTRACTMobility restriction measures were the main tools to control the spread of COVID-19, but the extent to which the mobility has decreased remained unsure. We investigated the change in local population mobility and its correlation with COVID-19 infections, using 1185 billion aggregated mobile phone data records in nine main cities in China from 10 January to 24 February 2020. The mobility fell by as much as 79.57% compared to the normal days in 2020 and by 58.13% compared to the same lunar period in 2019. The daily incidence of COVID-19 was significantly correlated with local daily mobility (R2 = 0.77, P < 0.001). The instantaneous reproduction number R(t) declined by 3% when mobility was reduced by 10% in the GLM analysis (P < 0.05). Our study indicated that the decreased mobility level, driven by a mixture effect of holiday and public health interventions, could substantially reduce the transmission of COVID-19 to a low level. Our study could provide evidence of mobility restriction to control local transmission for other places facing COVID-19 outbreaks or potential next waves. |
| first_indexed | 2024-03-08T01:48:10Z |
| format | Article |
| id | doaj.art-91438a60a2e1427d83f6a36b0ec6b692 |
| institution | Directory Open Access Journal |
| issn | 1009-5020 1993-5153 |
| language | English |
| last_indexed | 2024-03-08T01:48:10Z |
| publishDate | 2023-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj.art-91438a60a2e1427d83f6a36b0ec6b6922024-02-14T12:14:19ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532023-10-0126462764110.1080/10095020.2023.2246506Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of ChinaJizhe Xia0Taicheng Li1Zhaoyang Yu2Erzhen Chen3Yang Yue4Zhen Li5Ying Zhou6Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, ChinaRuijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, ChinaWenzhou Institute of Geotechnical Investigation and Surveying, Wenzhou, ChinaRuijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaABSTRACTMobility restriction measures were the main tools to control the spread of COVID-19, but the extent to which the mobility has decreased remained unsure. We investigated the change in local population mobility and its correlation with COVID-19 infections, using 1185 billion aggregated mobile phone data records in nine main cities in China from 10 January to 24 February 2020. The mobility fell by as much as 79.57% compared to the normal days in 2020 and by 58.13% compared to the same lunar period in 2019. The daily incidence of COVID-19 was significantly correlated with local daily mobility (R2 = 0.77, P < 0.001). The instantaneous reproduction number R(t) declined by 3% when mobility was reduced by 10% in the GLM analysis (P < 0.05). Our study indicated that the decreased mobility level, driven by a mixture effect of holiday and public health interventions, could substantially reduce the transmission of COVID-19 to a low level. Our study could provide evidence of mobility restriction to control local transmission for other places facing COVID-19 outbreaks or potential next waves.https://www.tandfonline.com/doi/10.1080/10095020.2023.2246506COVID-19mobile phonepopulation mobilitylocal transmission |
| spellingShingle | Jizhe Xia Taicheng Li Zhaoyang Yu Erzhen Chen Yang Yue Zhen Li Ying Zhou Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China Geo-spatial Information Science COVID-19 mobile phone population mobility local transmission |
| title | Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China |
| title_full | Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China |
| title_fullStr | Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China |
| title_full_unstemmed | Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China |
| title_short | Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China |
| title_sort | population mobility change for controlling the transmission of covid 19 mobile phone data analysis in nine cities of china |
| topic | COVID-19 mobile phone population mobility local transmission |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2023.2246506 |
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