AccScience Publishing / MI / Online First / DOI: 10.36922/mi.2294
SHORT COMMUNICATION

Comprehensive genomic surveillance analysis of SARS-CoV-2: Global epidemic dynamics and geographic variability of variants

Xingguang Li1,2* Haizhou Liu3 Yigang Tong4*
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1 Department of Emerging Infectious Diseases, Ningbo No. 2 Hospital, Ningbo, China
2 Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
3 National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
4 Department bioscience, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
MI 2024, 1(1), 106–111; https://doi.org/10.36922/mi.2294
Submitted: 22 November 2023 | Accepted: 13 December 2023 | Published: 12 January 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Almost 4 years into the COVID-19 pandemic, the world has shifted into a phase characterized by the Omicron variant, which has maintained prevalence for over a year, giving rise to more than 3690 subvariants globally. To investigate the worldwide genomic surveillance of SARS-CoV-2, metadata from over 5.5 million high-quality genomes were analyzed. The results revealed significant geographic heterogeneity in the distribution of variants of concern/interest (VOC/VOI) across different continents, especially noticeable for the Epsilon and Iota VOIs. Moreover, the sequencing turnaround times exhibited notable geographic heterogeneity. These disparities in turnaround time and geographic coverage are critical for refining policies, guidelines, and mitigation strategies to effectively address the COVID-19 pandemic. In the context of the persistent COVID-19 pandemic and the global spread of various variants, understanding the mortality and transmissibility rates of SARS-CoV-2 is crucial. The mean mortality rate of SARS-CoV-2 stands at 2.62% (median: 2.17%; 95% confidence interval [CI]: 1.06 – 6.81%). Notably, the Omicron variant exhibits distinct transmissibility characteristics (mean: 13.22; median: 12.06; 95% CI: 6.02 – 20.59) compared to other SARS-CoV-2 variants (mean: 1.40; median: 1.12; 95% CI: 0.97 – 2.28). These data underscore the need for future genomic surveillance strategies, including strategic sampling, randomized baseline surveillance, and rapid reporting, to enhance global public health efforts. Such strategies are essential for monitoring and responding to the evolving landscape of the pandemic, as evidenced by the variability in mortality and transmission rates among different variants.

Keywords
SARS-CoV-2
Variants of concern/interest
Mortality rate
Submission lag
Geographic heterogeneity
Funding
None.
Conflict of interest
The authors declare no conflict of interest.
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