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Published December 15, 2022 | Accepted Version
Report Open

Unlocking capacities of viral genomics for the COVID-19 pandemic response

Abstract

More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid global spread of SARS-CoV-2, and its persistent threat to public health. However, distinguishing the most epidemiologically relevant information encoded in these vast amounts of data requires substantial effort across the research and public health communities. Studies of SARS-CoV-2 genomes have been critical in tracking the spread of variants and understanding its epidemic dynamics, and may prove crucial for controlling future epidemics and alleviating significant public health burdens. Together, genomic data and bioinformatics methods enable broad-scale investigations of the spread of SARS-CoV-2 at the local, national, and global scales and allow researchers the ability to efficiently track the emergence of novel variants, reconstruct epidemic dynamics, and provide important insights into drug and vaccine development and disease control. Here, we discuss the tremendous opportunities that genomics offers to unlock the effective use of SARS-CoV-2 genomic data for efficient public health surveillance and guiding timely responses to COVID-19.

Additional Information

We thank William M. Switzer and Ellsworth M. Campbell from the Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, 30333 GA, USA for useful discussions and suggestions. We also thank numerous anonymous reviewers who helped improve our manuscript by their valuable comments on the manuscript. S.M. was partially supported by National Science Foundation grants 2041984. Tommy Lam is supported by NSFC Excellent Young Scientists Fund (Hong Kong and Macau) (31922087) and Health and Medical Research Fund (COVID190223). Pavel Skums was supported by the National Institutes of Health grant 1R01EB025022. Malak Abedalthagafi MA a acknowledge King Abdulaziz City for Science and Technology and the Saudi Human Genome Project for technical and financial support (https://shgp.kacst.edu.sa) Nicholas Wu: startup funds from the University of Illinois at Urbana-Champaign Adam Smith: acknowledge funding from NSF grant no. 2029025. Alex Zelikovsky: A.Z. has been partially supported by NSF Grant CCF-1619110 and NIH Grant 1R01EB025022-01. Sergey Knyazev S.K. has been partly supported by Molecular Basis of Disease at Georgia State University. Rob Knight: NSF project 2038509, RAPID: Improving QIIME 2 and UniFrac for Viruses to Respond to COVID-19. CDC project 30055281 with Scripps led by Kristian Andersen, Genomic sequencing of SARS-CoV-2 to investigate local and cross-border emergence and spread.

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Additional details

Created:
August 20, 2023
Modified:
October 24, 2023