Literature DB >> 32736418

[Inference of start time of resurgent COVID-19 epidemic in Beijing with SEIR dynamics model and evaluation of control measure effect].

Y Y Wei1, J X Guan1, Y Zhao1, S P Shen1, F Chen1.   

Abstract

Objective: To infer the start time of the resurgent COVID-19 epidemic in Xinfadi wholesale market in Beijing in June 2020 and evaluate the effect of comprehensive prevention and control measures in this epidemic.
Methods: SEIR dynamics model was used to fit daily onset infections to search the start date of this resurgent COVID-19 epidemic in Beijing. The number of cumulative infections from June 12 to July 1 in Beijing were fitted considering different levels of control strength.
Results: The current reemerged COVID-19 epidemic in Beijing probably started between May 22 and May 28 (cumulative probability: 95%), with the highest probability on May 25 (23%). The R(0) of the current reemerged COVID-19 epidemic was 4.22 (95%CI: 2.88-7.02). Dynamic model fitting suggested that by June 11, the cumulative number of COVID-19 cases would reached 99 (95%CI: 77-121), which was in line with the actual situation, and without control, by July 1, the cumulative number of COVID-19 cases would reach 65 090 (95%CI: 39 068-105 037). Since June 12,comprehensive prevention and control measures have been implemented in Beijing, as of July 1,compared with uncontrolled situation, the number of infections had been reduced by 99%, similar to the fitting result of a 95% reduction of the transmission rate. The sensitivity analysis showed consistent results. Conclusions: For the emergent outbreak of COVID-19, the dynamics model can be used to infer the start time of the transmission and help tracing the source of epidemic. The comprehensive prevention and control measures taken in Beijing have quickly blocked over 95% of the transmission routes and reduced 99% of the infections, containing the sudden epidemic timely and effectively,which have value in guiding the prevention and control of the epidemic in the future.

Entities:  

Keywords:  COVID-19; Epidemic tracing; Transmission dynamics model

Year:  2020        PMID: 32736418     DOI: 10.3760/cma.j.cn112338-20200706-00927

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  4 in total

Review 1.  Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.

Authors:  Jinxing Guan; Yang Zhao; Yongyue Wei; Sipeng Shen; Dongfang You; Ruyang Zhang; Theis Lange; Feng Chen
Journal:  Med Rev (Berl)       Date:  2022-02-28

2.  Reconstruction of the Transmission Chain of COVID-19 Outbreak in Beijing's Xinfadi Market, China.

Authors:  Tianyi Luo; Jiaojiao Wang; Quanyi Wang; Xiaoli Wang; Pengfei Zhao; Daniel Dajun Zeng; Qingpeng Zhang; Zhidong Cao
Journal:  Int J Infect Dis       Date:  2022-01-21       Impact factor: 12.074

3.  Food-trade-associated COVID-19 outbreak from a contaminated wholesale food supermarket in Beijing.

Authors:  Shan Lu; Weijia Wang; Yanpeng Cheng; Caixin Yang; Yifan Jiao; Mingchao Xu; Yibo Bai; Jing Yang; Hongbin Song; Ligui Wang; Jiaojiao Wang; Bing Rong; Jianguo Xu
Journal:  J Biosaf Biosecur       Date:  2021-06-26

4.  COVID-19 in China: Risk Factors and R0 Revisited.

Authors:  Irtesam Mahmud Khan; Ubydul Haque; Wenyi Zhang; Sumaira Zafar; Yong Wang; Junyu He; Hailong Sun; Jailos Lubinda; M Sohel Rahman
Journal:  Acta Trop       Date:  2020-10-22       Impact factor: 3.222

  4 in total

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