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Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions
Viral genomic surveillance has been a critical source of information during the COVID-19 pandemic, but publicly available data can be sparse, concentrated in wealthy countries, and often made public weeks or months after collection. We used publicly available viral genomic surveillance data submitte...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745223/ https://www.ncbi.nlm.nih.gov/pubmed/36502409 http://dx.doi.org/10.3201/eid2813.220780 |
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author | Ohlsen, Elizabeth C. Hawksworth, Anthony W. Wong, Kimberly Guagliardo, Sarah Anne J. Fuller, James A. Sloan, Michelle L. O’Laughlin, Kevin |
author_facet | Ohlsen, Elizabeth C. Hawksworth, Anthony W. Wong, Kimberly Guagliardo, Sarah Anne J. Fuller, James A. Sloan, Michelle L. O’Laughlin, Kevin |
author_sort | Ohlsen, Elizabeth C. |
collection | PubMed |
description | Viral genomic surveillance has been a critical source of information during the COVID-19 pandemic, but publicly available data can be sparse, concentrated in wealthy countries, and often made public weeks or months after collection. We used publicly available viral genomic surveillance data submitted to GISAID and GenBank to examine sequencing coverage and lag time to submission during 2020–2021. We compared publicly submitted sequences by country with reported infection rates and population and also examined data based on country-level World Bank income status and World Health Organization region. We found that as global capacity for viral genomic surveillance increased, international disparities in sequencing capacity and timeliness persisted along economic lines. Our analysis suggests that increasing viral genomic surveillance coverage worldwide and decreasing turnaround times could improve timely availability of sequencing data to inform public health action. |
format | Online Article Text |
id | pubmed-9745223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-97452232022-12-19 Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions Ohlsen, Elizabeth C. Hawksworth, Anthony W. Wong, Kimberly Guagliardo, Sarah Anne J. Fuller, James A. Sloan, Michelle L. O’Laughlin, Kevin Emerg Infect Dis Surveillance, Information, and Laboratory Systems Viral genomic surveillance has been a critical source of information during the COVID-19 pandemic, but publicly available data can be sparse, concentrated in wealthy countries, and often made public weeks or months after collection. We used publicly available viral genomic surveillance data submitted to GISAID and GenBank to examine sequencing coverage and lag time to submission during 2020–2021. We compared publicly submitted sequences by country with reported infection rates and population and also examined data based on country-level World Bank income status and World Health Organization region. We found that as global capacity for viral genomic surveillance increased, international disparities in sequencing capacity and timeliness persisted along economic lines. Our analysis suggests that increasing viral genomic surveillance coverage worldwide and decreasing turnaround times could improve timely availability of sequencing data to inform public health action. Centers for Disease Control and Prevention 2022-12 /pmc/articles/PMC9745223/ /pubmed/36502409 http://dx.doi.org/10.3201/eid2813.220780 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Surveillance, Information, and Laboratory Systems Ohlsen, Elizabeth C. Hawksworth, Anthony W. Wong, Kimberly Guagliardo, Sarah Anne J. Fuller, James A. Sloan, Michelle L. O’Laughlin, Kevin Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title | Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title_full | Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title_fullStr | Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title_full_unstemmed | Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title_short | Determining Gaps in Publicly Shared SARS-CoV-2 Genomic Surveillance Data by Analysis of Global Submissions |
title_sort | determining gaps in publicly shared sars-cov-2 genomic surveillance data by analysis of global submissions |
topic | Surveillance, Information, and Laboratory Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745223/ https://www.ncbi.nlm.nih.gov/pubmed/36502409 http://dx.doi.org/10.3201/eid2813.220780 |
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