Global disparities in SARS-CoV-2 genomic surveillance

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, Bulgarian SARS-CoV-2 sequencing group, 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 ConsortiumBenjamin P Howden, Vitali Sintchenko, Neta S Zuckerman, Orna Mor, Heather M Blankenship, Tulio de Oliveira, Raymond T P Lin, Marilda Mendonça Siqueira, Paola Cristina Resende, Ana Tereza R Vasconcelos, Fernando R Spilki, Renato Santana Aguiar, Ivailo Alexiev, Ivan N Ivanov, Ivva Philipova, Christine V F Carrington, Nikita S D Sahadeo, Ben Branda, Céline Gurry, Sebastian Maurer-Stroh, Dhamari Naidoo, Karin J von Eije, Mark D Perkins, Maria van Kerkhove, Sarah C Hill, Ester C Sabino, Oliver G Pybus, Christopher Dye, Samir Bhatt, Seth Flaxman, Marc A Suchard, Nathan D Grubaugh, Guy Baele, Nuno R Faria*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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
Pages (from-to)1-13
Number of pages13
JournalNature Communications
Volume13
DOIs
Publication statusPublished - 16 Nov 2022

Keywords

  • Humans
  • SARS-CoV-2/genetics
  • Genome, Viral/genetics
  • COVID-19/epidemiology
  • Pandemics
  • Genomics

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