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Spread and control of COVID-19 in China and their associations with population movement, public health emergency measures, and medical resources
Songmin Ying; Fei Li; Xinwei Geng; Zhouyang Li; Xufei Du; Haixia Chen; Sisi Chen; Min Zhang; Zhehua Shao; Yinfang Wu; Madiha Zahra Syeda; Fugui Yan; Luanqing Che; Bin Zhang; Jian Lou; Shaobin Wang; Zhengming Chen; Wen Li; Ye Shen; Zhihua Chen; Huahao Shen.
Affiliation
  • Songmin Ying; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Fei Li; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Xinwei Geng; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Zhouyang Li; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Xufei Du; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Haixia Chen; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Sisi Chen; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Min Zhang; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Zhehua Shao; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Yinfang Wu; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Madiha Zahra Syeda; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Fugui Yan; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Luanqing Che; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Bin Zhang; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Jian Lou; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Shaobin Wang; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Zhengming Chen; Nuffield Department of Population Health, University of Oxford
  • Wen Li; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Ye Shen; Hangzhou Mitigenomics Technology Inc.
  • Zhihua Chen; Second Affiliated Hospital of Zhejiang University School of Medicine
  • Huahao Shen; Second Affiliated Hospital of Zhejiang University School of Medicine
Preprint in English | medRxiv | ID: ppmedrxiv-20027623
ABSTRACT
BACKGROUNDThe COVID-19 epidemic, first emerged in Wuhan during December 2019, has spread globally. While the mass population movement for Chinese New Year has significantly influenced spreading the disease, little direct evidence exists about the relevance to epidemic and its control of population movement from Wuhan, local emergency response, and medical resources in China. METHODSSpearmans correlation analysis was performed between official data of confirmed COVID-19 cases from Jan 20th to Feb 19th, 2020 and real-time travel data and health resources data. RESULTSThere were 74,675 confirmed COVID-19 cases in China by Feb 19th, 2020. The overall fatality rate was 2.84%, much higher in Hubei than in other regions (3.27% vs 0.73%). The index of population inflow from Hubei was positively correlated with total (Provincial r=0.9159, p<0.001; City r=0.6311, p<0.001) and primary cases (Provincial r=0.8702, p<0.001; City r=0.6358, p<0.001). The local health emergency measures (eg, city lockdown and traffic control) were associated with reduced infections nationwide. Moreover, the number of public health employees per capita was inversely correlated with total cases (r=-0.6295, p <0.001) and infection rates (r =-0.4912, p <0.01). Similarly, cities with less medical resources had higher fatality (r =-0.4791, p<0.01) and lower cure rates (r = 0.5286, p<0.01) among the confirmed cases. CONCLUSIONSThe spread of the COVID-19 in China in its early phase was attributed primarily to population movement from Hubei, and effective governmental health emergency measures and adequate medical resources played important roles in subsequent control of epidemic and improved prognosis of affected individuals.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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