Cargando…

COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response

The scientific response to the COVID-19 pandemic has produced an abundance of publications, including peer-reviewed articles and preprints, across a wide array of disciplines, from microbiology to medicine and social sciences. Genomics and precision health (GPH) technologies have had a particularly...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Wei, Drzymalla, Emily, Gwinn, Marta, Khoury, Muin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035978/
https://www.ncbi.nlm.nih.gov/pubmed/35468755
http://dx.doi.org/10.1186/s12879-022-07219-3
_version_ 1784693420512509952
author Yu, Wei
Drzymalla, Emily
Gwinn, Marta
Khoury, Muin J.
author_facet Yu, Wei
Drzymalla, Emily
Gwinn, Marta
Khoury, Muin J.
author_sort Yu, Wei
collection PubMed
description The scientific response to the COVID-19 pandemic has produced an abundance of publications, including peer-reviewed articles and preprints, across a wide array of disciplines, from microbiology to medicine and social sciences. Genomics and precision health (GPH) technologies have had a particularly prominent role in medical and public health investigations and response; however, these domains are not simply defined and it is difficult to search for relevant information using traditional strategies. To quantify and track the ongoing contributions of GPH to the COVID-19 response, the Office of Genomics and Precision Public Health at the Centers for Disease Control and Prevention created the COVID-19 Genomics and Precision Health database (COVID-19 GPH), an open access knowledge management system and publications database that is continuously updated through machine learning and manual curation. As of February 11, 2022, COVID-GPH contained 31,597 articles, mostly on pathogen and human genomics (72%). The database also includes articles describing applications of machine learning and artificial intelligence to the investigation and control of COVID-19 (28%). COVID-GPH represents about 10% (22983/221241) of the literature on COVID-19 on PubMed. This unique knowledge management database makes it easier to explore, describe, and track how the pandemic response is accelerating the applications of genomics and precision health technologies. COVID-19 GPH can be freely accessed via https://phgkb.cdc.gov/PHGKB/coVInfoStartPage.action. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07219-3.
format Online
Article
Text
id pubmed-9035978
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90359782022-04-25 COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response Yu, Wei Drzymalla, Emily Gwinn, Marta Khoury, Muin J. BMC Infect Dis Database The scientific response to the COVID-19 pandemic has produced an abundance of publications, including peer-reviewed articles and preprints, across a wide array of disciplines, from microbiology to medicine and social sciences. Genomics and precision health (GPH) technologies have had a particularly prominent role in medical and public health investigations and response; however, these domains are not simply defined and it is difficult to search for relevant information using traditional strategies. To quantify and track the ongoing contributions of GPH to the COVID-19 response, the Office of Genomics and Precision Public Health at the Centers for Disease Control and Prevention created the COVID-19 Genomics and Precision Health database (COVID-19 GPH), an open access knowledge management system and publications database that is continuously updated through machine learning and manual curation. As of February 11, 2022, COVID-GPH contained 31,597 articles, mostly on pathogen and human genomics (72%). The database also includes articles describing applications of machine learning and artificial intelligence to the investigation and control of COVID-19 (28%). COVID-GPH represents about 10% (22983/221241) of the literature on COVID-19 on PubMed. This unique knowledge management database makes it easier to explore, describe, and track how the pandemic response is accelerating the applications of genomics and precision health technologies. COVID-19 GPH can be freely accessed via https://phgkb.cdc.gov/PHGKB/coVInfoStartPage.action. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07219-3. BioMed Central 2022-04-25 /pmc/articles/PMC9035978/ /pubmed/35468755 http://dx.doi.org/10.1186/s12879-022-07219-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Database
Yu, Wei
Drzymalla, Emily
Gwinn, Marta
Khoury, Muin J.
COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title_full COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title_fullStr COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title_full_unstemmed COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title_short COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
title_sort covid-19 gph: tracking the contribution of genomics and precision health to the covid-19 pandemic response
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035978/
https://www.ncbi.nlm.nih.gov/pubmed/35468755
http://dx.doi.org/10.1186/s12879-022-07219-3
work_keys_str_mv AT yuwei covid19gphtrackingthecontributionofgenomicsandprecisionhealthtothecovid19pandemicresponse
AT drzymallaemily covid19gphtrackingthecontributionofgenomicsandprecisionhealthtothecovid19pandemicresponse
AT gwinnmarta covid19gphtrackingthecontributionofgenomicsandprecisionhealthtothecovid19pandemicresponse
AT khourymuinj covid19gphtrackingthecontributionofgenomicsandprecisionhealthtothecovid19pandemicresponse