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SCIENCE CHINA Life Sciences, Volume 63 , Issue 6 : 936-939(2020) https://doi.org/10.1007/s11427-020-1695-5

Association between population migration and epidemic control of coronavirus disease 2019

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  • ReceivedFeb 20, 2020
  • AcceptedApr 10, 2020
  • PublishedApr 14, 2020

Abstract

There is no abstract available for this article.


Funded by

the Fundamental Research Funds for the Central Universities(YD9110004001,to,JW,YD9110002002,to,XY)

Emergency Research Project of Novel Coronavirus Infection of Anhui Province(202004a07020002,to,ZRL;,202004a07020004,to,ZRL)


Acknowledgment

This study was supported by the Fundamental Research Funds for the Central Universities (YD9110004001 to JW, YD9110002002 to XY) and Emergency Research Project of Novel Coronavirus Infection of Anhui Province (202004a07020002 to ZRL; 202004a07020004 to ZRL).


Interest statement

The author(s) declare that they have no conflict of interest.


Supplement

SUPPORTING INFORMATION

Figure S1 Daily newly confirmed cases of COVID-19 in Hefei and Shenzhen during the study period.

Table S1 Basic characteristics of the confirmed cases of COVID-19 in Hefei and Shenzhen

Table S2 Basic reproduction number (R0) and population inflow from the epidemic focus recorded in Shenzhen and Hefei between January 23 and February 11, 2020

The supporting information is available online at http://life.scichina.com and https://link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.


References

[1] Li Q., Guan X., Wu P., Wang X., Zhou L., Tong Y., Ren R., Leung K.S.M., Lau E.H.Y., Wong J.Y., et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med, 2020, 382: 1199-1207 CrossRef PubMed Google Scholar

[2] Merler S., Ajelli M.. The role of population heterogeneity and human mobility in the spread of pandemic influenza. Proc R Soc B, 2010, 277: 557-565 CrossRef PubMed Google Scholar

[3] Munster V.J., Koopmans M., van Doremalen N., van Riel D., de Wit E.. A novel coronavirus emerging in China—key questions for impact assessment. N Engl J Med, 2020, 382: 692-694 CrossRef PubMed Google Scholar

  • Figure 1

    Changes in the epidemiological characteristics of COVID-19 infections recorded in Shenzhen and Hefei between January 19 and February 11, 2020. A–D, Changes in the basic reproduction number (R0), the average growth rate, the average incubation period (days), and the average infectious period (days) recorded between January 19 and February 11, 2020, in Shenzhen and Hefei. This period was divided into 20 overlapping 5-day time windows. The growth rate referred to the proportion of newly added patients per day in the cumulative total of confirmed patients. The simple moving average of growth rates for the previous 5 days was defined as the average growth rate within a time window ending on a certain date. The average incubation period was the mean value of the incubation period of non-input confirmed patients with a contact history over the previous 5 days. We defined the infectious period as the period between the appearance of the first symptoms and isolation (hospitalization). Similarly, we defined the average infection period as the moving average of all confirmed COVID-19 cases for each 5-day time window.

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