Literature DB >> 35073672

[The dynamic COVID-zero strategy on prevention and control of COVID-19 in China].

W N Liang1, M Liu2, J Liu2, Y D Wang3, J Wu4, X Liu5.   

Abstract

Since April 2020, the epidemic of novel coronavirus pneumonia epidemic (COVID-19 epidemic) in China has entered the phase of normalized prevention and control. After the exploration phase of normalized prevention and control, China's epidemic prevention and control has entered the "dynamic COVID-zero" phase of whole-chain precise prevention and control. The dynamic COVID-zero strategy is to follow the premise of "external prevention of import, internal prevention of rebound" prevention and control strategy, when the emergence of local COVID-19 cases, to take effective comprehensive prevention and control measures, and to "find one, extinguish one", to quickly cut off the chain of epidemic transmission, so that each epidemic is terminated in a timely manner, achieving maximum effectiveness with minimum cost. With the application of new technologies such as large-scale nucleic acid detection and big data tracking, the dynamic COVID-zero strategy was developed, which is China's novel experience in the prevention and control of COVID-19 epidemic. The dynamic COVID-zero strategy is an innovative prevention and control strategy proposed and implemented in China during the normalized prevention and control phase of the COVID-19 epidemic, whose prevention and control objectives, technical means, and work focus are different from the traditional "containment" strategy and "mitigation" strategy on ending the epidemic. This paper analyzes and summarizes the three phases of COVID-19 epidemic prevention and control in China, the dynamic COVID-zero strategy and its scientific connotation, evolutionary process, theoretical basis, implementation phases and effects, and provides a scientific basis for epidemic prevention and control in winter and spring.

Entities:  

Mesh:

Year:  2022        PMID: 35073672     DOI: 10.3760/cma.j.cn112137-20211205-02710

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  5 in total

1.  Addressing External Shock in Urban Agglomeration: Implications From the Transmission Pattern of COVID-19 in the Beijing-Tianjin-Hebei Area.

Authors:  Daohan Huang; Fenghua Wen; Shunru Li
Journal:  Front Public Health       Date:  2022-05-11

2.  How to co-exist with COVID-19? A health economics explanation based on the Chinese experience.

Authors:  Keng Yang; Hanying Qi
Journal:  J Glob Health       Date:  2022-07-16       Impact factor: 7.664

3.  Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study.

Authors:  Lingcai Kong; Mengwei Duan; Jin Shi; Jie Hong; Xuan Zhou; Xinyi Yang; Zheng Zhao; Jiaqi Huang; Xi Chen; Yun Yin; Ke Li; Yuanhua Liu; Jinggang Liu; Xiaozhe Wang; Po Zhang; Xiyang Xie; Fei Li; Zhaorui Chang; Zhijie Zhang
Journal:  Infect Dis Poverty       Date:  2022-09-06       Impact factor: 10.485

4.  Gestational diabetes mellitus in the COVID-19 pandemic: A retrospective study from Hangzhou, China.

Authors:  Binbin Yin; Kaiqi Wu; Lingwei Hu; Wanlu Zheng; Yidan Zheng; Xiuzhi Duan; Bo Zhu
Journal:  J Diabetes       Date:  2022-10-01       Impact factor: 4.530

5.  The Impact of COVID-19 on Maternal Mental Health during Pregnancy: A Comparison between Canada and China within the CONCEPTION Cohort.

Authors:  Nicolas Pagès; Jessica Gorgui; Chongjian Wang; Xian Wang; Jin-Ping Zhao; Vanina Tchuente; Anaïs Lacasse; Sylvana Côté; Suzanne King; Flory Muanda; Yves Mufike; Isabelle Boucoiran; Anne Monique Nuyt; Caroline Quach; Ema Ferreira; Padma Kaul; Brandace Winquist; Kieran J O'Donnell; Sherif Eltonsy; Dan Chateau; Gillian Hanley; Tim Oberlander; Behrouz Kassai; Sabine Mainbourg; Sasha Bernatsky; Évelyne Vinet; Annie Brodeur-Doucet; Jackie Demers; Philippe Richebé; Valerie Zaphiratos; Anick Bérard
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

  5 in total

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