Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39588, first published .
Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Jizhe Xia   1, 2 , PhD ;   Kun Yin   3 , PhD ;   Yang Yue   1, 2 , PhD ;   Qingquan Li   1, 2 , PhD ;   Xiling Wang   4 , PhD ;   Dongsheng Hu   5 , PhD ;   Xiong Wang   6 , PhD ;   Zhanwei Du   7, 8 , PhD ;   Ben J Cowling   7, 8 , PhD ;   Erzhen Chen   9 , PhD ;   Ying Zhou   9 , PhD

1 Department of Urban Informatics, Guangdong Key Laboratory for Urban Informatics, Shenzhen University, Shenzhen, China

2 Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China

3 School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China

4 School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China

5 School of Public health, Shenzhen University, Shenzhen, China

6 Institute for Advanced Study, Shenzhen University, Shenzhen, China

7 World Health Organisation Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China (Hong Kong)

8 Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, China (Hong Kong)

9 Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Corresponding Author: