The spatiotemporal analysis of SARS-CoV-2 transmission in China since the termination of the dynamic zero-COVID policy  

作　　者：Jiaying Li Jingqi Yang Xiao Ding Hangyu Zhou Na Han Aiping Wu 

机构地区：[1]State Key Laboratory of Common Mechanism Research for Major Diseases,Suzhou Institute of Systems Medicine,Chinese Academy of Medical Sciences&Peking Union Medical College,Suzhou 215123,China [2]Key Laboratory of Pathogen Infection Prevention and Control(Peking Union Medical College),Ministry of Education,Beijing 100730,China

出　　处：《Virologica Sinica》2024年第5期737-746,共10页中国病毒学（英文版）

基　　金：supported by the National Key Plan for Scientific Research and Development of China(2021YFC2301305);the National Natural Science Foundation of China(92169106);the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2021-PT180-001);Capital's Funds for health Improvement and Research(shoufa-1G-1131);the CAMS Innovation Fund for Medical Sciences(2021-I2M-1-061,2022-I2M-2-004,2023-PT330-01,2023-I2M-2-005);Suzhou science and technology development plan(szs2020311);Natural Science Foundation of Jiangsu Province(Grants No.BK20220278);Jiangsu Provincial Key Project of Science and Technology Plan(Grants No.BE2023601),Scientific research project of Jiangsu health commission(DX202301);the NCTIB Fund for R&D Platform for Cell and Gene Therapy.We gratefully acknowledge the CNCB,CoV-Spectrum,and GISAID databases,as well as all the authors who originated and submitted the SARS-CoV-2 sequences,for generously sharing their work through open databases.

摘　　要：China's dynamic zero-COVID policy has effectively curbed the spread of SARS-CoV-2,while inadvertently creating immunity gaps within its population.Subsequent surges in COVID-19 cases linked to various SARS-CoV-2 lineages post-policy termination necessitate a thorough investigation into the epidemiological landscape.This study addresses this issue by analyzing a comprehensive dataset of 39,456 high-quality genomes collected nationwide over an 11-month period since policy termination.Through lineage assignment,phylogenetic analysis,pandemic pattern comparison,phylodynamic reconstruction,and recombination detection,we found that China's postepidemic period could be divided into three stages,along with dynamic changes in dominant lineages.Geographical clustering of similar lineages implies the importance of cross-border cooperation among neighboring regions.Compared to the USA,UK,and Japan,China exhibits unique trajectories of lineage epidemics,characterized by initial lagging followed by subsequent advancement,indicating the potential influence of diverse prevention and control policies on lineage epidemic patterns.Hong Kong,Shanghai,and Hubei emerge as pivotal nodes in the nationwide spread,marking a shift in the transmission center from east to central regions of China.Although China hasn't experienced significant variant emergence,the detection and validation of the novel recombination event,XCN lineage,underscore the ongoing virus evolution.Overall,this study systematically analyzes the spatiotemporal transmission of SARS-CoV-2 virus in China since the termination of the dynamic zeroCOVID policy,offering valuable insights for regional surveillance and evidence-based public health policymaking.

关 键 词：SARS-CoV-2 Epidemiology Dynamic zero-COVID policy Population immunity Recombination 

分 类 号：R373.1[医药卫生—病原生物学]