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Global disparities in SARS-CoV-2 genomic surveillance

Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impa...

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Autores principales: 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., 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404891/
https://www.ncbi.nlm.nih.gov/pubmed/34462754
http://dx.doi.org/10.1101/2021.08.21.21262393
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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.
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.
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 provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness.
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spelling pubmed-84048912021-08-31 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. 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. medRxiv Article Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness. Cold Spring Harbor Laboratory 2021-12-09 /pmc/articles/PMC8404891/ /pubmed/34462754 http://dx.doi.org/10.1101/2021.08.21.21262393 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
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.
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/PMC8404891/
https://www.ncbi.nlm.nih.gov/pubmed/34462754
http://dx.doi.org/10.1101/2021.08.21.21262393
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