Literature DB >> 32219398

Negligible risk of the COVID-19 resurgence caused by work resuming in China (outside Hubei): a statistical probability study.

Kedong Zhao1, Cheng Long2, Yan Wang1, Tieyong Zeng3, Xinmiao Fu1.   

Abstract

The COVID-19 outbreak in China appears to reach the late stage since late March 2020, and a stepwise restoration of economic operations is implemented. Risk assessment for such economic restoration is of significance. Here, we estimated the probability of COVID-19 resurgence caused by work resuming in typical provinces/cities and found that such probability is very limited (<5% for all the regions except Beijing). Our work may inform provincial governments to make risk level-based, differentiated control measures.
© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; COVID-19 resurgence; SARS-CoV-2; coronavirus; risk assessment; work resuming

Mesh:

Year:  2020        PMID: 32219398      PMCID: PMC7184396          DOI: 10.1093/pubmed/fdaa046

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   2.341


The outbreak of 2019 novel coronavirus diseases (COVID-19) has dramatically impacted on China and also starts to hit the world., Along with a significant decrease of daily new confirmed cases from over 3000 to less than 100 (19 on 9 March 2020), China (outside Hubei) has entered a new stage of epidemic prevention and control coupled with a stepwise restoration of social and economic operations. The rapid return to full productivity is critical to China and also to the world that urgently needs the material goods including personal protective equipment against COVID-19 infection. Rational risk assessment for the COVID-19 resurgence upon such economic restoration is of significance. Here, we estimated the probability of COVID-19 resurgence caused by work resuming in typical provinces/cities (see Table 1) that were most affected by the outbreaks and/or are most economically important in China.
Table 1

Probability of COVID-19 resurgence after working resuming and school reopening

Province/cities New cases No. of cumulative cases Population (104) No. of Enterprises (104) Probability (%)
mildb strictb
Guangdong2135311 346535.13.81.1
Henan012729605154.20.00.0
Zhejiangb012155737224.50.00.0
Hunan11018689883.50.60.2
Jiangxi0935464783.80.00.0
Anhui09906323141.10.00.0
Shandong375910 047261.33.21.0
Jiangsub06318050347.90.00.0
Fujian02963973138.80.00.0
Beijingc34292153161.66.82.0
Shanghai13442423220.83.71.1
Guangzhou13471490127.73.51.0
Shenzhenb04191302201.90.00.0

aSteps for probability calculation are presented in Supplementary Table S2.

bThere were no newly confirmed COVID-19 cases in these regions from 28 February to 12 March such that the final probability of resurgence is zero.

cThe secondary attack rate was set as 10% and 3% under mild and strict personal protection conditions, respectively, by referring to the estimates on family clusters.

Risk assessment for work resuming is based on several assumptions as follows. First, a period of the past 14 days was set as a reference for calculation, given that the incubation period of COVID-19 ranges from 1 to 14 days with the mean period of 5–6 days. Second, potential infection in the coming week is proportional to the number of newly confirmed COVID-19 cases in the past 14 days. Third, only locally generated cases in the past 14 days are counted while imported cases are omitted (note: all passengers who are enter China from foreign countries are required to be quarantined for 14 days and would be subjected to COVID-19 test if necessary). Forth, the secondary attack rate of COVID-19 in enterprise clusters from an infected but not yet identified case to healthy persons, if not less, is comparable with that in family clusters, which ranges from 3 to 10%. Fifth, there is one cluster of health event in each enterprise every day, and the average cluster size is assumed as 10 persons. Under the above assumptions, we collected the data of new COVID-19 cases in the past 14 days (from 28 February to 12 March; see Supplementary Table S1) in each area and also the population size and numbers of enterprises in 2019. Estimation of the probability of COVID resurgence was performed step by step, as detailed in Supplementary Table S2. Results (Table 1) indicate that (i) under mild and strict protective conditions, the probability of COVID-19 resurgence in the coming week (from 13 March to 19 March) ranges from 0.6 to 6.8% and from 0.2 to 2.4%, respectively; (ii) in several areas (e.g. Zhejiang, Jiangsu and Shenzhen), the probability is zero due to the absence of new cases in the past 14 days. In summary, the probability of COVID-19 resurgence upon working resuming is very limited or even negligible. The probability may be updated weekly or daily by referring to the new cases in the past 14 days. Our work may provide guidance for provincial governments to make risk-level-based, differentiated control measures, by which economic operations are effectively restored and the potential risk of COVID-19 resurgence is strictly controlled. Probability of COVID-19 resurgence after working resuming and school reopening aSteps for probability calculation are presented in Supplementary Table S2. bThere were no newly confirmed COVID-19 cases in these regions from 28 February to 12 March such that the final probability of resurgence is zero. cThe secondary attack rate was set as 10% and 3% under mild and strict personal protection conditions, respectively, by referring to the estimates on family clusters.

Funding

This work is support by the National Natural Science Foundation of China (grant no. 31972918 and 31770830 to X.F.).

Conflict of interest

We declare no competing interests. Click here for additional data file.
  3 in total

1.  Chinese parents' intentions to vaccinate their children against SARS-CoV-2 infection and vaccine preferences.

Authors:  Yulan Lin; Zhijian Hu; Qinjian Zhao; Haridah Alias; Mahmoud Danaee; Li Ping Wong
Journal:  Hum Vaccin Immunother       Date:  2021-12-10       Impact factor: 3.452

2.  The impact of coronavirus lockdown on oral healthcare and its associated issues of pre-schoolers in China: an online cross-sectional survey.

Authors:  Chang Liu; Shuang Zhang; Chenzheng Zhang; Baojun Tai; Han Jiang; Minquan Du
Journal:  BMC Oral Health       Date:  2021-02-06       Impact factor: 2.757

3.  Retrospect: The Outbreak Evaluation of COVID-19 in Wuhan District of China.

Authors:  Yimin Zhou; Zuguo Chen; Xiangdong Wu; Zengwu Tian; Lingjian Ye; Leyi Zheng
Journal:  Healthcare (Basel)       Date:  2021-01-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.