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COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area.
Zhong, Leiyang; Zhou, Ying; Gao, Song; Yu, Zhaoyang; Ma, Zhifeng; Li, Xiaoming; Yue, Yang; Xia, Jizhe.
  • Zhong L; Guangdong Key Laboratory of Urban Informatics, and Shenzhen Key Laboratory of Spatial Smart Sensing and Service, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
  • Zhou Y; Ministry of Natural Resources (MNR), Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China.
  • Gao S; College of Public Health, Shenzhen University, Shenzhen 518060, China.
  • Yu Z; Geospatial Data Science Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Ma Z; Guangdong Key Laboratory of Urban Informatics, and Shenzhen Key Laboratory of Spatial Smart Sensing and Service, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
  • Li X; Ministry of Natural Resources (MNR), Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China.
  • Yue Y; Guangdong Key Laboratory of Urban Informatics, and Shenzhen Key Laboratory of Spatial Smart Sensing and Service, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
  • Xia J; Ministry of Natural Resources (MNR), Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China.
Int J Appl Earth Obs Geoinf ; 112: 102848, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1895128
ABSTRACT
In response to the coronavirus disease 2019 (COVID-19) pandemic, various countries have sought to control COVID-19 transmission by introducing non-pharmaceutical interventions. Restricting population mobility, by introducing social distancing, is one of the most widely used non-pharmaceutical interventions. Although similar population mobility restriction interventions were introduced, their impacts on COVID-19 transmission are often inconsistent across different regions and different time periods. These differences may provide critical information for tailoring COVID-19 control strategies. In this paper, anonymized high spatiotemporal resolution mobile-phone location data were employed to empirically analyze and quantify the impact of lockdowns on population mobility. Both the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China and the San Francisco Bay Area (SBA) in the United States were studied. In response to the lockdowns, a general reduction in population mobility was observed, but the structural changes in mobility are very different between the two bays 1) GBA mobility decreased by approximately 74.0-80.1% while the decrease of SBA was about 25.0-42.1%; 2) compared to SBA, the GBA had smoother volatility in daily volume during the lockdown. The volatility change indexes for GBA and SBA were 2.55% and 7.52%, respectively; 3) the effect of lockdown on short- to long-distance mobility was similar in GBA while the medium- and long-distance impact was more pronounced in SBA.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Int J Appl Earth Obs Geoinf Year: 2022 Document Type: Article Affiliation country: J.jag.2022.102848

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Int J Appl Earth Obs Geoinf Year: 2022 Document Type: Article Affiliation country: J.jag.2022.102848