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Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California
BACKGROUND: During the COVID-19 pandemic within the United States, much of the responsibility for diagnostic testing and epidemiologic response has relied on the action of county-level departments of public health. Here we describe the integration of genomic surveillance into epidemiologic response...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900115/ https://www.ncbi.nlm.nih.gov/pubmed/35255849 http://dx.doi.org/10.1186/s12889-022-12790-0 |
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author | Stoddard, Gunnar Black, Allison Ayscue, Patrick Lu, Dan Kamm, Jack Bhatt, Karan Chan, Lienna Kistler, Amy L Batson, Joshua Detweiler, Angela Tan, Michelle Neff, Norma DeRisi, Joseph L Corrigan, Jeremy |
author_facet | Stoddard, Gunnar Black, Allison Ayscue, Patrick Lu, Dan Kamm, Jack Bhatt, Karan Chan, Lienna Kistler, Amy L Batson, Joshua Detweiler, Angela Tan, Michelle Neff, Norma DeRisi, Joseph L Corrigan, Jeremy |
author_sort | Stoddard, Gunnar |
collection | PubMed |
description | BACKGROUND: During the COVID-19 pandemic within the United States, much of the responsibility for diagnostic testing and epidemiologic response has relied on the action of county-level departments of public health. Here we describe the integration of genomic surveillance into epidemiologic response within Humboldt County, a rural county in northwest California. METHODS: Through a collaborative effort, 853 whole SARS-CoV-2 genomes were generated, representing ~58% of the 1,449 SARS-CoV-2-positive cases detected in Humboldt County as of March 12, 2021. Phylogenetic analysis of these data was used to develop a comprehensive understanding of SARS-CoV-2 introductions to the county and to support contact tracing and epidemiologic investigations of all large outbreaks in the county. RESULTS: In the case of an outbreak on a commercial farm, viral genomic data were used to validate reported epidemiologic links and link additional cases within the community who did not report a farm exposure to the outbreak. During a separate outbreak within a skilled nursing facility, genomic surveillance data were used to rule out the putative index case, detect the emergence of an independent Spike:N501Y substitution, and verify that the outbreak had been brought under control. CONCLUSIONS: These use cases demonstrate how developing genomic surveillance capacity within local public health departments can support timely and responsive deployment of genomic epidemiology for surveillance and outbreak response based on local needs and priorities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12790-0. |
format | Online Article Text |
id | pubmed-8900115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89001152022-03-07 Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California Stoddard, Gunnar Black, Allison Ayscue, Patrick Lu, Dan Kamm, Jack Bhatt, Karan Chan, Lienna Kistler, Amy L Batson, Joshua Detweiler, Angela Tan, Michelle Neff, Norma DeRisi, Joseph L Corrigan, Jeremy BMC Public Health Research BACKGROUND: During the COVID-19 pandemic within the United States, much of the responsibility for diagnostic testing and epidemiologic response has relied on the action of county-level departments of public health. Here we describe the integration of genomic surveillance into epidemiologic response within Humboldt County, a rural county in northwest California. METHODS: Through a collaborative effort, 853 whole SARS-CoV-2 genomes were generated, representing ~58% of the 1,449 SARS-CoV-2-positive cases detected in Humboldt County as of March 12, 2021. Phylogenetic analysis of these data was used to develop a comprehensive understanding of SARS-CoV-2 introductions to the county and to support contact tracing and epidemiologic investigations of all large outbreaks in the county. RESULTS: In the case of an outbreak on a commercial farm, viral genomic data were used to validate reported epidemiologic links and link additional cases within the community who did not report a farm exposure to the outbreak. During a separate outbreak within a skilled nursing facility, genomic surveillance data were used to rule out the putative index case, detect the emergence of an independent Spike:N501Y substitution, and verify that the outbreak had been brought under control. CONCLUSIONS: These use cases demonstrate how developing genomic surveillance capacity within local public health departments can support timely and responsive deployment of genomic epidemiology for surveillance and outbreak response based on local needs and priorities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12790-0. BioMed Central 2022-03-07 /pmc/articles/PMC8900115/ /pubmed/35255849 http://dx.doi.org/10.1186/s12889-022-12790-0 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 | Research Stoddard, Gunnar Black, Allison Ayscue, Patrick Lu, Dan Kamm, Jack Bhatt, Karan Chan, Lienna Kistler, Amy L Batson, Joshua Detweiler, Angela Tan, Michelle Neff, Norma DeRisi, Joseph L Corrigan, Jeremy Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title | Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title_full | Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title_fullStr | Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title_full_unstemmed | Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title_short | Using genomic epidemiology of SARS-CoV-2 to support contact tracing and public health surveillance in rural Humboldt County, California |
title_sort | using genomic epidemiology of sars-cov-2 to support contact tracing and public health surveillance in rural humboldt county, california |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900115/ https://www.ncbi.nlm.nih.gov/pubmed/35255849 http://dx.doi.org/10.1186/s12889-022-12790-0 |
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