TY - JOUR
T1 - Global disparities in SARS-CoV-2 genomic surveillance
AU - Brito, Anderson F.
AU - Semenova, Elizaveta
AU - Dudas, Gytis
AU - Hassler, Gabriel W.
AU - Kalinich, Chaney C.
AU - Kraemer, Moritz U.G.
AU - Ho, Joses
AU - Tegally, Houriiyah
AU - Githinji, George
AU - Agoti, Charles N.
AU - Matkin, Lucy E.
AU - Whittaker, Charles
AU - Bulgarian SARS-CoV-2 sequencing group
AU - Kantardjiev, Todor
AU - Korsun, Nelly
AU - Stoitsova, Savina
AU - Dimitrova, Reneta
AU - Trifonova, Ivelina
AU - Dobrinov, Veselin
AU - Grigorova, Lubomira
AU - Stoykov, Ivan
AU - Grigorova, Iliana
AU - Gancheva, Anna
AU - Communicable Diseases Genomics Network (Australia and New Zealand)
AU - Jennison, Amy
AU - Leong, Lex
AU - Speers, David
AU - Baird, Rob
AU - Cooley, Louise
AU - Kennedy, Karina
AU - de Ligt, Joep
AU - Rawlinson, William
AU - van Hal, Sebastiaan
AU - Williamson, Deborah
AU - COVID-19 Impact Project
AU - Singh, Risha
AU - Nathaniel-Girdharrie, SueMin
AU - Edghill, Lisa
AU - Indar, Lisa
AU - St. John, Joy
AU - Gonzalez-Escobar, Gabriel
AU - Ramkisoon, Vernie
AU - Brown-Jordan, Arianne
AU - Ramjag, Anushka
AU - Mohammed, Nicholas
AU - Foster, Jerome E.
AU - Potter, Irad
AU - Greenaway-Duberry, Sharra
AU - George, Kenneth
AU - Belmar-George, Sharon
AU - Lee, John
AU - Bisasor-McKenzie, Jacqueline
AU - Astwood, Nadia
AU - Sealey-Thomas, Rhonda
AU - Laws, Hazel
AU - Singh, Narine
AU - Oyinloye, Ayoola
AU - McMillan, Pearl
AU - Hinds, Avery
AU - Nandram, Naresh
AU - Parasram, Roshan
AU - Khan-Mohammed, Zobida
AU - Charles, Shawn
AU - Andrewin, Aisha
AU - Johnson, David
AU - Keizer-Beache, Simone
AU - Oura, Chris
AU - Pybus, Oliver G.
AU - Faria, Nuno R.
AU - Danish Covid-19 Genome Consortium
AU - Stegger, Marc
AU - Albertsen, Mads
AU - Fomsgaard, Anders
AU - Rasmussen, Morten
AU - Fiocruz COVID-19 Genomic Surveillance Network
AU - Khouri, Ricardo
AU - Naveca, Felipe
AU - Graf, Tiago
AU - Miyajima, Fábio
AU - Wallau, Gabriel
AU - Motta, Fernando
AU - GISAID core curation team
AU - Khare, Shruti
AU - Freitas, Lucas
AU - Schiavina, Constanza
AU - Bach, Gunter
AU - Schultz, Mark B.
AU - Chew, Yi Hong
AU - Makheja, Meera
AU - Born, Priscila
AU - Calegario, Gabriela
AU - Romano, Sofia
AU - Finello, Juan
AU - Diallo, Amadou
AU - Lee, Raphael T.C.
AU - Xu, Ya Ni
AU - Yeo, Winston
AU - Tiruvayipati, Suma
AU - Yadahalli, Shilpa
AU - Network for Genomic Surveillance in South Africa (NGS-SA)
AU - Wilkinson, Eduan
AU - Iranzadeh, Arash
AU - Giandhari, Jennifer
AU - Doolabh, Deelan
AU - Pillay, Sureshnee
AU - Ramphal, Upasana
AU - San, James E.
AU - Msomi, Nokukhanya
AU - Mlisana, Koleka
AU - von Gottberg, Anne
AU - Walaza, Sibongile
AU - Ismail, Arshad
AU - Mohale, Thabo
AU - Engelbrecht, Susan
AU - Van Zyl, Gert
AU - Preiser, Wolfgang
AU - Sigal, Alex
AU - Hardie, Diana
AU - Marais, Gert
AU - Hsiao, Marvin
AU - Korsman, Stephen
AU - Davies, Mary Ann
AU - Tyers, Lynn
AU - Mudau, Innocent
AU - York, Denis
AU - Maslo, Caroline
AU - Goedhals, Dominique
AU - Abrahams, Shareef
AU - Laguda-Akingba, Oluwakemi
AU - Alisoltani-Dehkordi, Arghavan
AU - Godzik, Adam
AU - Wibmer, Constantinos K.
AU - Martin, Darren
AU - Lessells, Richard J.
AU - Bhiman, Jinal N.
AU - Williamson, Carolyn
AU - de Oliveira, Tulio
AU - Swiss SARS-CoV-2 Sequencing Consortium
AU - Chen, Chaoran
AU - Nadeau, Sarah
AU - du Plessis, Louis
AU - Beckmann, Christiane
AU - Redondo, Maurice
AU - Kobel, Olivier
AU - Noppen, Christoph
AU - Seidel, Sophie
AU - de Souza, Noemie Santamaria
AU - Beerenwinkel, Niko
AU - Topolsky, Ivan
AU - Jablonski, Philipp
AU - Fuhrmann, Lara
AU - Dreifuss, David
AU - Jahn, Katharina
AU - Ferreira, Pedro
AU - Posada-Céspedes, Susana
AU - Beisel, Christian
AU - Denes, Rebecca
AU - Feldkamp, Mirjam
AU - Nissen, Ina
AU - Santacroce, Natascha
AU - Burcklen, Elodie
AU - Aquino, Catharine
AU - de Gouvea, Andreia Cabral
AU - Moccia, Maria Domenica
AU - Grüter, Simon
AU - Sykes, Timothy
AU - Opitz, Lennart
AU - White, Griffin
AU - Neff, Laura
AU - Popovic, Doris
AU - Patrignani, Andrea
AU - Tracy, Jay
AU - Schlapbach, Ralph
AU - Dermitzakis, Emmanouil
AU - Harshman, Keith
AU - Xenarios, Ioannis
AU - Pegeot, Henri
AU - Cerutti, Lorenzo
AU - Penet, Deborah
AU - Stadler, Tanja
AU - Howden, Benjamin P.
AU - Sintchenko, Vitali
AU - Zuckerman, Neta S.
AU - Mor, Orna
AU - Blankenship, Heather M.
AU - de Oliveira, Tulio
AU - Lin, Raymond T.P.
AU - Siqueira, Marilda Mendonça
AU - Resende, Paola Cristina
AU - Vasconcelos, Ana Tereza R.
AU - Spilki, Fernando R.
AU - Aguiar, Renato Santana
AU - Alexiev, Ivailo
AU - Ivanov, Ivan N.
AU - Philipova, Ivva
AU - Carrington, Christine V.F.
AU - Sahadeo, Nikita S.D.
AU - Branda, Ben
AU - Gurry, Céline
AU - Maurer-Stroh, Sebastian
AU - Naidoo, Dhamari
AU - von Eije, Karin J.
AU - Perkins, Mark D.
AU - van Kerkhove, Maria
AU - Hill, Sarah C.
AU - Sabino, Ester C.
AU - Pybus, Oliver G.
AU - Dye, Christopher
AU - Bhatt, Samir
AU - Flaxman, Seth
AU - Suchard, Marc A.
AU - Grubaugh, Nathan D.
AU - Baele, Guy
AU - Faria, Nuno R.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - COVID-19 pandemic
KW - Global disparities
KW - SARS-CoV-2 genomic surveillance
UR - http://www.scopus.com/inward/record.url?scp=85142128821&partnerID=8YFLogxK
U2 - 10.1038/s41467-022-33713-y
DO - 10.1038/s41467-022-33713-y
M3 - Article
C2 - 36385137
AN - SCOPUS:85142128821
SN - 2041-1723
VL - 13
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 7003
ER -