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Global disparities in SARS-CoV-2 genomic surveillance
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 inte...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667854/ https://www.ncbi.nlm.nih.gov/pubmed/36385137 http://dx.doi.org/10.1038/s41467-022-33713-y |
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author | Brito, Anderson F. Semenova, Elizaveta Dudas, Gytis Hassler, Gabriel W. Kalinich, Chaney C. Kraemer, Moritz U. G. Ho, Joses Tegally, Houriiyah Githinji, George Agoti, Charles N. Matkin, Lucy E. Whittaker, Charles Howden, Benjamin P. Sintchenko, Vitali Zuckerman, Neta S. Mor, Orna Blankenship, Heather M. de Oliveira, Tulio Lin, Raymond T. P. Siqueira, Marilda Mendonça Resende, Paola Cristina Vasconcelos, Ana Tereza R. Spilki, Fernando R. Aguiar, Renato Santana Alexiev, Ivailo Ivanov, Ivan N. Philipova, Ivva Carrington, Christine V. F. Sahadeo, Nikita S. D. Branda, Ben Gurry, Céline Maurer-Stroh, Sebastian Naidoo, Dhamari von Eije, Karin J. Perkins, Mark D. van Kerkhove, Maria Hill, Sarah C. Sabino, Ester C. Pybus, Oliver G. Dye, Christopher Bhatt, Samir Flaxman, Seth Suchard, Marc A. Grubaugh, Nathan D. Baele, Guy Faria, Nuno R. |
author_facet | Brito, Anderson F. Semenova, Elizaveta Dudas, Gytis Hassler, Gabriel W. Kalinich, Chaney C. Kraemer, Moritz U. G. Ho, Joses Tegally, Houriiyah Githinji, George Agoti, Charles N. Matkin, Lucy E. Whittaker, Charles Howden, Benjamin P. Sintchenko, Vitali Zuckerman, Neta S. Mor, Orna Blankenship, Heather M. de Oliveira, Tulio Lin, Raymond T. P. Siqueira, Marilda Mendonça Resende, Paola Cristina Vasconcelos, Ana Tereza R. Spilki, Fernando R. Aguiar, Renato Santana Alexiev, Ivailo Ivanov, Ivan N. Philipova, Ivva Carrington, Christine V. F. Sahadeo, Nikita S. D. Branda, Ben Gurry, Céline Maurer-Stroh, Sebastian Naidoo, Dhamari von Eije, Karin J. Perkins, Mark D. van Kerkhove, Maria Hill, Sarah C. Sabino, Ester C. Pybus, Oliver G. Dye, Christopher Bhatt, Samir Flaxman, Seth Suchard, Marc A. Grubaugh, Nathan D. Baele, Guy Faria, Nuno R. |
author_sort | Brito, Anderson F. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9667854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96678542022-11-16 Global disparities in SARS-CoV-2 genomic surveillance Brito, Anderson F. Semenova, Elizaveta Dudas, Gytis Hassler, Gabriel W. Kalinich, Chaney C. Kraemer, Moritz U. G. Ho, Joses Tegally, Houriiyah Githinji, George Agoti, Charles N. Matkin, Lucy E. Whittaker, Charles Howden, Benjamin P. Sintchenko, Vitali Zuckerman, Neta S. Mor, Orna Blankenship, Heather M. de Oliveira, Tulio Lin, Raymond T. P. Siqueira, Marilda Mendonça Resende, Paola Cristina Vasconcelos, Ana Tereza R. Spilki, Fernando R. Aguiar, Renato Santana Alexiev, Ivailo Ivanov, Ivan N. Philipova, Ivva Carrington, Christine V. F. Sahadeo, Nikita S. D. Branda, Ben Gurry, Céline Maurer-Stroh, Sebastian Naidoo, Dhamari von Eije, Karin J. Perkins, Mark D. van Kerkhove, Maria Hill, Sarah C. Sabino, Ester C. Pybus, Oliver G. Dye, Christopher Bhatt, Samir Flaxman, Seth Suchard, Marc A. Grubaugh, Nathan D. Baele, Guy Faria, Nuno R. Nat Commun Article 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. Nature Publishing Group UK 2022-11-16 /pmc/articles/PMC9667854/ /pubmed/36385137 http://dx.doi.org/10.1038/s41467-022-33713-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brito, Anderson F. Semenova, Elizaveta Dudas, Gytis Hassler, Gabriel W. Kalinich, Chaney C. Kraemer, Moritz U. G. Ho, Joses Tegally, Houriiyah Githinji, George Agoti, Charles N. Matkin, Lucy E. Whittaker, Charles Howden, Benjamin P. Sintchenko, Vitali Zuckerman, Neta S. Mor, Orna Blankenship, Heather M. de Oliveira, Tulio Lin, Raymond T. P. Siqueira, Marilda Mendonça Resende, Paola Cristina Vasconcelos, Ana Tereza R. Spilki, Fernando R. Aguiar, Renato Santana Alexiev, Ivailo Ivanov, Ivan N. Philipova, Ivva Carrington, Christine V. F. Sahadeo, Nikita S. D. Branda, Ben Gurry, Céline Maurer-Stroh, Sebastian Naidoo, Dhamari von Eije, Karin J. Perkins, Mark D. van Kerkhove, Maria Hill, Sarah C. Sabino, Ester C. Pybus, Oliver G. Dye, Christopher Bhatt, Samir Flaxman, Seth Suchard, Marc A. Grubaugh, Nathan D. Baele, Guy Faria, Nuno R. Global disparities in SARS-CoV-2 genomic surveillance |
title | Global disparities in SARS-CoV-2 genomic surveillance |
title_full | Global disparities in SARS-CoV-2 genomic surveillance |
title_fullStr | Global disparities in SARS-CoV-2 genomic surveillance |
title_full_unstemmed | Global disparities in SARS-CoV-2 genomic surveillance |
title_short | Global disparities in SARS-CoV-2 genomic surveillance |
title_sort | global disparities in sars-cov-2 genomic surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667854/ https://www.ncbi.nlm.nih.gov/pubmed/36385137 http://dx.doi.org/10.1038/s41467-022-33713-y |
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