Your browser doesn't support javascript.
loading
State heterogeneity of human mobility and COVID-19 epidemics in the European Union
Xiaoling Yuan; Kun Hu; Jie Xu; Xuchen Zhang; Wei Bao; Charles F Lynch; Lanjing Zhang.
Affiliation
  • Xiaoling Yuan; Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Kun Hu; Department of Pathology, University at Buffalo, Buffalo, NY, USA
  • Jie Xu; Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Xuchen Zhang; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
  • Wei Bao; Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
  • Charles F Lynch; Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
  • Lanjing Zhang; Princeton Medical Center/Rutgers University
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20127530
ABSTRACT
Human mobility was associated with epidemic changes of coronavirus disease 2019 (COVID-19) in China, where strict public health interventions reduced human mobility and COVID-19 epidemics. But its association with COVID-19 epidemics in the European Union (EU) is unclear. In this quasi-experimental study, we modelled the temporal trends in human mobility and epidemics of COVID-19 in the 27 EU states between January 15 and May 9, 2020. COVID-19 and human mobility had 3 trend-segments, including an upward trend in COVID-19 daily incidence and a downward trend in most human mobilities in the middle segment. Compared with the EU states farther from Italy, the state-wide lockdown dates were more likely linked to turning points of human mobilities in the EU states closer to Italy, which were also more likely linked to second turning points of COVID-19 epidemics. Among the examined human mobilities, the second turning points in driving mobility and the first turning points in parks mobility were the best factors that connected lockdown dates and COVID-19 epidemics in the EU states closer to Italy. Our findings highlight the state- and mobility-heterogeneity in the associations of public health interventions and human mobility with changes of COVID-19 epidemics in the EU states.
License
cc_no
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies Language: En Year: 2020 Document type: Preprint