Your browser doesn't support javascript.
loading
Population movement, city closure and spatial transmission of the 2019-nCoV infection in China
Siqi Ai; Guanghu Zhu; Fei Tian; Huan Li; Yuan Gao; Yinglin Wu; Qiyong Liu; Hualiang Lin.
Affiliation
  • Siqi Ai; Department of Epidemiology, School of Public Health, Sun Yat-sen University
  • Guanghu Zhu; School of Mathematics and Computing Science, Guilin University of Electronic Technology
  • Fei Tian; Department of Epidemiology, School of Public Health, Sun Yat-sen University
  • Huan Li; Department of Epidemiology, School of Public Health, Sun Yat-sen University
  • Yuan Gao; Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Instit
  • Yinglin Wu; Department of Epidemiology, School of Public Health, Sun Yat-sen University
  • Qiyong Liu; Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Instit
  • Hualiang Lin; Department of Epidemiology, School of Public Health, Sun Yat-sen University
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20020339
ABSTRACT
The outbreak of pneumonia caused by a novel coronavirus (2019-nCoV) in Wuhan City of China obtained global concern, the population outflow from Wuhan has contributed to spatial expansion in other parts of China. We examined the effects of population outflow from Wuhan on the 2019-nCoV transmission in other provinces and cities of China, as well as the impacts of the city closure in Wuhan. We observed a significantly positive association between population movement and the number of cases. Further analysis revealed that if the city closure policy was implemented two days earlier, 1420 (95% CI 1059, 1833) cases could be prevented, and if two days later, 1462 (95% CI 1090, 1886) more cases would be possible. Our findings suggest that population movement might be one important trigger of the 2019-nCoV infection transmission in China, and the policy of city closure is effective to prevent the epidemic.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2020 Document type: Preprint