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The effect of human mobility and control measures on the COVID-19 epidemic in China

  • Open COVID-19 Data Working Group
  • University of Oxford
  • Harvard University
  • Boston Children's Hospital
  • Northeastern University
  • Universidad San Francisco de Quito
  • University of Southampton
  • University of Washington
  • CNRS
  • Universite Pierre et Marie Curie
  • ISI Foundation
  • Beijing Normal University
  • Royal Veterinary College University of London

Research output: Contribution to journalArticlepeer-review

2177 Scopus citations

Abstract

The ongoing coronavirus disease 2019 (COVID-19) outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions were undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We used real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. After the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside of Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19.

Original languageEnglish
Pages (from-to)493-497
Number of pages5
JournalScience
Volume368
Issue number6490
DOIs
StatePublished - 1 May 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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