COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
Abstract 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 part...
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Format: | Article |
Language: | English |
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BMC
2022-04-01
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Series: | BMC Infectious Diseases |
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Online Access: | https://doi.org/10.1186/s12879-022-07219-3 |
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author | Wei Yu Emily Drzymalla Marta Gwinn Muin J. Khoury |
author_facet | Wei Yu Emily Drzymalla Marta Gwinn Muin J. Khoury |
author_sort | Wei Yu |
collection | DOAJ |
description | Abstract 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 . |
first_indexed | 2024-12-12T19:28:52Z |
format | Article |
id | doaj.art-2dc1d629151e456e905204ccbb65f012 |
institution | Directory Open Access Journal |
issn | 1471-2334 |
language | English |
last_indexed | 2024-12-12T19:28:52Z |
publishDate | 2022-04-01 |
publisher | BMC |
record_format | Article |
series | BMC Infectious Diseases |
spelling | doaj.art-2dc1d629151e456e905204ccbb65f0122022-12-22T00:14:28ZengBMCBMC Infectious Diseases1471-23342022-04-0122111110.1186/s12879-022-07219-3COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic responseWei Yu0Emily Drzymalla1Marta Gwinn2Muin J. Khoury3Office of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and PreventionOffice of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and PreventionOffice of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and PreventionOffice of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and PreventionAbstract 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 .https://doi.org/10.1186/s12879-022-07219-3COVID-19DatabaseSARS-CoV-2GenomicsPrecision Public Health |
spellingShingle | Wei Yu Emily Drzymalla Marta Gwinn Muin J. Khoury COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response BMC Infectious Diseases COVID-19 Database SARS-CoV-2 Genomics Precision Public Health |
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 | COVID-19 Database SARS-CoV-2 Genomics Precision Public Health |
url | https://doi.org/10.1186/s12879-022-07219-3 |
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