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Global disparities in SARS-CoV-2 genomic surveillance

  • Communicable Diseases Genomics Network (Australia and New Zealand)
  • , COVID-19 Impact Project
  • , Danish Covid-19 Genome Consortium
  • , Fiocruz COVID-19 Genomic Surveillance Network
  • , GISAID core curation team
  • , Network for Genomic Surveillance in South Africa (NGS-SA)
  • , Swiss SARS-CoV-2 Sequencing Consortium
  • , Bulgarian SARS-CoV-2 sequencing group
  • , Anderson F. Brito*
  • , Elizaveta Semenova
  • , Gytis Dudas
  • , Gabriel W. Hassler
  • , Chaney C. Kalinich
  • , Moritz U.G. Kraemer
  • , Joses Ho
  • , Houriiyah Tegally
  • , George Githinji
  • , Charles N. Agoti
  • , Lucy E. Matkin
  • , Charles Whittaker
  • Todor Kantardjiev, Nelly Korsun, Savina Stoitsova, Reneta Dimitrova, Ivelina Trifonova, Veselin Dobrinov, Lubomira Grigorova, Ivan Stoykov, Iliana Grigorova, Anna Gancheva, Amy Jennison, Lex Leong, David Speers, Rob Baird, Louise Cooley, Karina Kennedy, Joep de Ligt, William Rawlinson, Sebastiaan van Hal, Deborah Williamson, Risha Singh, Sue Min Nathaniel-Girdharrie, Lisa Edghill, Lisa Indar, Joy St. John, Gabriel Gonzalez-Escobar, Vernie Ramkisoon, Arianne Brown-Jordan, Anushka Ramjag, Nicholas Mohammed, Jerome E. Foster, Irad Potter, Sharra Greenaway-Duberry, Kenneth George, Sharon Belmar-George, John Lee, Jacqueline Bisasor-McKenzie, Alex Sigal
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

190 Scopus citations

Abstract

Genomic sequencing is essential to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments, vaccines, and guide public health responses. To investigate the global SARS-CoV-2 genomic surveillance, we used sequences shared via GISAID to estimate the impact of sequencing intensity and turnaround times on variant detection in 189 countries. In the first two years of the pandemic, 78% of high-income countries sequenced >0.5% of their COVID-19 cases, while 42% of low- and middle-income countries reached that mark. Around 25% of the genomes from high income countries were submitted within 21 days, a pattern observed in 5% of the genomes from low- and middle-income countries. We found that sequencing around 0.5% of the cases, with a turnaround time <21 days, could provide a benchmark for SARS-CoV-2 genomic surveillance. Socioeconomic inequalities undermine the global pandemic preparedness, and efforts must be made to support low- and middle-income countries improve their local sequencing capacity.

Original languageEnglish
Article number7003
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

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