A retrospective analysis of the dynamic transmission routes of the COVID-19 in mainland China

  1. Xiandeng Jiang
  2. Le Chang
  3. Yanlin Shi

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Abstract

The fourth outbreak of the Coronaviruses, known as the COVID-19, has occurred in Wuhan city of Hubei province in China in December 2019. We propose a time-varying sparse vector autoregressive (VAR) model to retrospectively analyze and visualize the dynamic transmission routes of this outbreak in mainland China over January 31–February 19, 2020. Our results demonstrate that the influential inter-location routes from Hubei have become unidentifiable since February 4, 2020, whereas the self-transmission in each provincial-level administrative region (location, hereafter) was accelerating over February 4–15, 2020. From February 16, 2020, all routes became less detectable, and no influential transmissions could be identified on February 18 and 19, 2020. Such evidence supports the effectiveness of government interventions, including the travel restrictions in Hubei. Implications of our results suggest that in addition to the origin of the outbreak, virus preventions are of crucial importance in locations with the largest migrant workers percentages (e.g., Jiangxi, Henan and Anhui) to controlling the spread of COVID-19.

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    SciScore for 10.1101/2020.03.01.20029645: (What is this?)

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    Table 2: Resources

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    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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  2. Version published to 10.1038/s41598-020-71023-9
  3. Version published to 10.1101/2020.03.01.20029645v2 on medRxiv
  4. Version published to 10.1101/2020.03.01.20029645v1 on medRxiv