Association of vaccination, international travel, public health and social measures with lineage dynamics of SARS-CoV-2

Author:

Yang Lingyue1,Wang Zengmiao1,Wang Lin2ORCID,Vrancken Bram34,Wang Ruixue1,Wei Yuanlong1,Rader Benjamin56ORCID,Wu Chieh-Hsi7,Chen Yuyang1,Wu Peiyi1,Li Bingying1,Lin Qiushi1,Dong Lu8,Cui Yujun9ORCID,Shi Mang10ORCID,Brownstein John S.411,Stenseth Nils Chr.121314ORCID,Yang Ruifu9,Tian Huaiyu1

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

2. Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom

3. Department of Microbiology and Immunology, Rega Institute, Laboratory of Evolutionary and Computational Virology, KU Leuven, Leuven 3000, Belgium

4. Spatial Epidemiology Lab, Université Libre de Bruxelles, 1050 Bruxelles, Belgium

5. Computational Epidemiology Lab, Boston Children’s Hospital, Boston, MA 02215

6. Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118

7. Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom

8. College of Life Sciences, Beijing Normal University, Beijing 100875, China

9. State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China

10. The Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China

11. Harvard Medical School, Harvard University, Boston, MA 02115

12. The Centre for Pandemics and One-Health Research, Sustainable Health Unit, Faculty of Medicine, University of Oslo, Oslo 0316, Norway

13. Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo 0316, Norway

14. Vanke School of Public Health, Tsinghua University, Beijing 100084, China

Abstract

Continually emerging SARS-CoV-2 variants of concern that can evade immune defenses are driving recurrent epidemic waves of COVID-19 globally. However, the impact of measures to contain the virus and their effect on lineage diversity dynamics are poorly understood. Here, we jointly analyzed international travel, public health and social measures (PHSM), COVID-19 vaccine rollout, SARS-CoV-2 lineage diversity, and the case growth rate (GR) from March 2020 to September 2022 across 63 countries. We showed that despite worldwide vaccine rollout, PHSM are effective in mitigating epidemic waves and lineage diversity. An increase of 10,000 monthly travelers in a single country-to-country route between endemic countries corresponds to a 5.5% (95% CI: 2.9 to 8.2%) rise in local lineage diversity. After accounting for PHSM, natural immunity from previous infections, and waning immunity, we discovered a negative association between the GR of cases and adjusted vaccine coverage (AVC). We also observed a complex relationship between lineage diversity and vaccine rollout. Specifically, we found a significant negative association between lineage diversity and AVC at both low and high levels but not significant at the medium level. Our study deepens the understanding of population immunity and lineage dynamics for future pandemic preparedness and responsiveness.

Funder

MOST | National Natural Science Foundation of China

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference60 articles.

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