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Letter to the Editor| Volume 86, ISSUE 4, e84-e86, April 2023

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Genomic surveillance of SARS-CoV-2 in mainland China after ending the zero-COVID policy, December 2022–January 2023

  • Pengcheng Liu
    Affiliations
    Department of Clinical Laboratory, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai 201102, China
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  • Jin Xu
    Correspondence
    Correspondence to: Department of Clinical Laboratory, Children’s Hospital of Fudan University, 399 Wanyuan Rd, Minhang District, Shanghai 201102, China.
    Affiliations
    Department of Clinical Laboratory, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai 201102, China
    Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
    Search for articles by this author
Published:March 01, 2023DOI:https://doi.org/10.1016/j.jinf.2023.02.040
      After implementing the dynamic zero-COVID policy for nearly three years, China has recently begun to adjust its COVID-19 prevention and control strategies with the attenuated pathogenicity of omicron subvariants and increasing vaccination coverage, notably by announcing the 10 measures on 7 December 2022.

      Xinhua. China Focus: COVID-19 response further optimized with 10 new measures; 2023. Available from: https://english.news.cn/20221207/ca014c043bf24728b8dcbc0198565fdf/c.html [Accessed February 15, 2023].

      A recent publication in this journal by Jingyi Liang et al. showed that the cumulative SARS-CoV-2 infection rate rose rapidly to 70% within three weeks after the ending of zero-COVID policy in Macao, China.
      • Liang J.
      • Liu R.
      • He W.
      • Zeng Z.
      • Wang Y.
      • Wang B.
      • et al.
      Infection rates of 70% of the population observed within 3 weeks after release of COVID-19 restrictions in Macao, China.
      Herein, we report the genomic characteristics and phylodynamic of SARS-CoV-2 complete genome sequences in mainland China after ending zero-COVID policy based on the viral genomic surveillance data deposited in the Global Initiative on Sharing All Influenza Data (GISAID) database.
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        • Liu R.
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