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Title: Global disparities in SARS-CoV-2 genomic surveillance.
Authors: Brito AF, Semenova E, Dudas G, Hassler GW, Kalinich CC, Kraemer MUG, Ho J, Tegally H, Githinji G, Agoti CN, Matkin LE, Whittaker C; 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 Consortium, Howden BP, Sintchenko V, Zuckerman NS, Mor O, Blankenship HM, de Oliveira T, Lin RTP, Siqueira MM, Resende PC, Vasconcelos ATR, Spilki FR, Aguiar RS, Alexiev I, Ivanov IN, Philipova I, Carrington CVF, Sahadeo NSD, Branda B, Gurry C, Maurer-Stroh S, Naidoo D, von Eije KJ, Perkins MD, van Kerkhove M, Hill SC, Sabino EC, Pybus OG, Dye C, Bhatt S, Flaxman S, Suchard MA, Grubaugh ND, Baele G, Faria NR..
Journal: Nature Communications,16;13(1):7003. doi: 10.1038/s41467-022-33713-y.: (2022)

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Abstract

Gnomic 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 to improve their local sequencing capacity.

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Citation: Brito AF, Semenova E, Dudas G, Hassler GW, Kalinich CC, Kraemer MUG, Ho J, Tegally H, Githinji G, Agoti CN, Matkin LE, Whittaker C; 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 Consortium, Howden BP, Sintchenko V, Zuckerman NS, Mor O, Blankenship HM, de Oliveira T, Lin RTP, Siqueira MM, Resende PC, Vasconcelos ATR, Spilki FR, Aguiar RS, Alexiev I, Ivanov IN, Philipova I, Carrington CVF, Sahadeo NSD, Branda B, Gurry C, Maurer-Stroh S, Naidoo D, von Eije KJ, Perkins MD, van Kerkhove M, Hill SC, Sabino EC, Pybus OG, Dye C, Bhatt S, Flaxman S, Suchard MA, Grubaugh ND, Baele G, Faria NR.. Global disparities in SARS-CoV-2 genomic surveillance. Nature Communications,16;13(1):7003. doi: 10.1038/s41467-022-33713-y.: (2022).