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Unraveling COVID-19 investigation hurdles with viral genomics

In the context of a COVID-19 outbreak, identifying transmission chains is crucial for effective public health response. However, relying solely on epidemiological investigation can lead to misidentification of links. This study aimed to assess the concordance between epidemiologically linked cases a...

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Autores principales: Sá, R, Isidro, J, Borges, V, Duarte, S, Vieira, L, Gomes, J P, Tedim, S, Matias, J, Leite, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597005/
http://dx.doi.org/10.1093/eurpub/ckad160.219
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author Sá, R
Isidro, J
Borges, V
Duarte, S
Vieira, L
Gomes, J P
Tedim, S
Matias, J
Leite, A
author_facet Sá, R
Isidro, J
Borges, V
Duarte, S
Vieira, L
Gomes, J P
Tedim, S
Matias, J
Leite, A
author_sort Sá, R
collection PubMed
description In the context of a COVID-19 outbreak, identifying transmission chains is crucial for effective public health response. However, relying solely on epidemiological investigation can lead to misidentification of links. This study aimed to assess the concordance between epidemiologically linked cases and viral genetic profiles in the Baixo Vouga Region of Portugal, from March to June 2020. We conducted a retrospective analysis of 1925 COVID-19 cases, of which 1143 were assigned to 154 epiclusters. Viral genomic data was available for 128 cases. We used this data to assess the accuracy of the initial transmission dynamics reconstruction, identify misidentified links, and resolve sporadic cases. Public health authorities identified two large epiclusters with a central role in disease spread, but the genomic data revealed that each epicluster included more than one transmission network. The increasing size of epiclusters and their extension to densely populated settings triggered the misidentification of links. Genomics also helped resolve some sporadic cases and misidentified directions of transmission. The epidemiological investigation had a sensitivity of 70%−86% in detecting transmission chains. Our findings demonstrate the challenges associated with the epidemiological investigation of hundreds of community cases in the context of a massive outbreak caused by a highly transmissible and new respiratory virus. We recommend incorporating viral genomics into outbreak investigations to improve the accuracy of transmission chain reconstructions. This could lead to the development of more effective public health actions such as prevention activities, policies, and surveillance systems. The innovative use of genomics in epidemiological investigations can have a significant impact on public health outcomes. KEY MESSAGES: • Large COVID-19 epiclusters and densely populated settings led to misidentified links. Epidemiological investigation had 70%−86% sensitivity to detect chains. • Using viral genomics in outbreak investigations can improve accuracy of transmission chain reconstructions, helping to resolve misidentified links and sporadic cases.
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spelling pubmed-105970052023-10-25 Unraveling COVID-19 investigation hurdles with viral genomics Sá, R Isidro, J Borges, V Duarte, S Vieira, L Gomes, J P Tedim, S Matias, J Leite, A Eur J Public Health Parallel Programme In the context of a COVID-19 outbreak, identifying transmission chains is crucial for effective public health response. However, relying solely on epidemiological investigation can lead to misidentification of links. This study aimed to assess the concordance between epidemiologically linked cases and viral genetic profiles in the Baixo Vouga Region of Portugal, from March to June 2020. We conducted a retrospective analysis of 1925 COVID-19 cases, of which 1143 were assigned to 154 epiclusters. Viral genomic data was available for 128 cases. We used this data to assess the accuracy of the initial transmission dynamics reconstruction, identify misidentified links, and resolve sporadic cases. Public health authorities identified two large epiclusters with a central role in disease spread, but the genomic data revealed that each epicluster included more than one transmission network. The increasing size of epiclusters and their extension to densely populated settings triggered the misidentification of links. Genomics also helped resolve some sporadic cases and misidentified directions of transmission. The epidemiological investigation had a sensitivity of 70%−86% in detecting transmission chains. Our findings demonstrate the challenges associated with the epidemiological investigation of hundreds of community cases in the context of a massive outbreak caused by a highly transmissible and new respiratory virus. We recommend incorporating viral genomics into outbreak investigations to improve the accuracy of transmission chain reconstructions. This could lead to the development of more effective public health actions such as prevention activities, policies, and surveillance systems. The innovative use of genomics in epidemiological investigations can have a significant impact on public health outcomes. KEY MESSAGES: • Large COVID-19 epiclusters and densely populated settings led to misidentified links. Epidemiological investigation had 70%−86% sensitivity to detect chains. • Using viral genomics in outbreak investigations can improve accuracy of transmission chain reconstructions, helping to resolve misidentified links and sporadic cases. Oxford University Press 2023-10-24 /pmc/articles/PMC10597005/ http://dx.doi.org/10.1093/eurpub/ckad160.219 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Parallel Programme
Sá, R
Isidro, J
Borges, V
Duarte, S
Vieira, L
Gomes, J P
Tedim, S
Matias, J
Leite, A
Unraveling COVID-19 investigation hurdles with viral genomics
title Unraveling COVID-19 investigation hurdles with viral genomics
title_full Unraveling COVID-19 investigation hurdles with viral genomics
title_fullStr Unraveling COVID-19 investigation hurdles with viral genomics
title_full_unstemmed Unraveling COVID-19 investigation hurdles with viral genomics
title_short Unraveling COVID-19 investigation hurdles with viral genomics
title_sort unraveling covid-19 investigation hurdles with viral genomics
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597005/
http://dx.doi.org/10.1093/eurpub/ckad160.219
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