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Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne
BACKGROUND: SARS-CoV-2 has been spreading worldwide since late 2019. Before vaccines became available, exclusively non-pharmaceutical measures were used to prevent transmission of infection. Despite the fact that vaccinations are now available, it is still important to identify relevant transmission...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401106/ https://www.ncbi.nlm.nih.gov/pubmed/36001614 http://dx.doi.org/10.1371/journal.pone.0273496 |
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author | Broichhaus, Lukas Book, Julian Feddern, Sven Grüne, Barbara Neuhann, Florian Nießen, Johannes Wiesmüller, Gerhard A. Kossow, Annelene Joisten, Christine |
author_facet | Broichhaus, Lukas Book, Julian Feddern, Sven Grüne, Barbara Neuhann, Florian Nießen, Johannes Wiesmüller, Gerhard A. Kossow, Annelene Joisten, Christine |
author_sort | Broichhaus, Lukas |
collection | PubMed |
description | BACKGROUND: SARS-CoV-2 has been spreading worldwide since late 2019. Before vaccines became available, exclusively non-pharmaceutical measures were used to prevent transmission of infection. Despite the fact that vaccinations are now available, it is still important to identify relevant transmission routes in order to contain the COVID-19- or further pandemics. Therefore, this study aims to systematically analyse data from the largest public health department in Germany to determine the significance of the various known and unknown transmission situations in terms of the proportion of infections. METHODS: All infections in Cologne were systematically recorded by the local health department. In addition to clinical data, the transmission situations were recorded and categorised as pertaining to social contact, work contact, travellers, health care workers, users of educational institutions, visitors of community institutions, infection in the context of medical treatment, and unknown infection. FINDINGS: The analysis included 25,966 persons. A transmission situation could be identified in 82.7% of the cases (n = 21,477). Most persons (42.1%) were infected due to social contact, primarily within their own household. Another 22.3% were infected at their place of work; this was particularly common among staff members of medical facilities, nursing homes and educational institutions. In 17.3% of the cases, the transmission situation remained unknown; the cases with unknown transmission situation were slightly more often symptomatic (75.2%) than the cases with known transmission situation (69.4%). INTERPRETATION: Considering that during the study period the leading strains were the wild-type and alpha-variant transmission rather occurred during scenarios involving close contacts than in anonymous situations. Presumably, however, the findings can be transferred to the new variants. Therefore, in order to prevent transmission, besides vaccination regular antigen tests and/or appropriate protective measures remain relevant until this pandemic has subsided. |
format | Online Article Text |
id | pubmed-9401106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94011062022-08-25 Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne Broichhaus, Lukas Book, Julian Feddern, Sven Grüne, Barbara Neuhann, Florian Nießen, Johannes Wiesmüller, Gerhard A. Kossow, Annelene Joisten, Christine PLoS One Research Article BACKGROUND: SARS-CoV-2 has been spreading worldwide since late 2019. Before vaccines became available, exclusively non-pharmaceutical measures were used to prevent transmission of infection. Despite the fact that vaccinations are now available, it is still important to identify relevant transmission routes in order to contain the COVID-19- or further pandemics. Therefore, this study aims to systematically analyse data from the largest public health department in Germany to determine the significance of the various known and unknown transmission situations in terms of the proportion of infections. METHODS: All infections in Cologne were systematically recorded by the local health department. In addition to clinical data, the transmission situations were recorded and categorised as pertaining to social contact, work contact, travellers, health care workers, users of educational institutions, visitors of community institutions, infection in the context of medical treatment, and unknown infection. FINDINGS: The analysis included 25,966 persons. A transmission situation could be identified in 82.7% of the cases (n = 21,477). Most persons (42.1%) were infected due to social contact, primarily within their own household. Another 22.3% were infected at their place of work; this was particularly common among staff members of medical facilities, nursing homes and educational institutions. In 17.3% of the cases, the transmission situation remained unknown; the cases with unknown transmission situation were slightly more often symptomatic (75.2%) than the cases with known transmission situation (69.4%). INTERPRETATION: Considering that during the study period the leading strains were the wild-type and alpha-variant transmission rather occurred during scenarios involving close contacts than in anonymous situations. Presumably, however, the findings can be transferred to the new variants. Therefore, in order to prevent transmission, besides vaccination regular antigen tests and/or appropriate protective measures remain relevant until this pandemic has subsided. Public Library of Science 2022-08-24 /pmc/articles/PMC9401106/ /pubmed/36001614 http://dx.doi.org/10.1371/journal.pone.0273496 Text en © 2022 Broichhaus et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Broichhaus, Lukas Book, Julian Feddern, Sven Grüne, Barbara Neuhann, Florian Nießen, Johannes Wiesmüller, Gerhard A. Kossow, Annelene Joisten, Christine Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title | Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title_full | Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title_fullStr | Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title_full_unstemmed | Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title_short | Where is the greatest risk of COVID-19 infection? Findings from Germany’s largest public health department, Cologne |
title_sort | where is the greatest risk of covid-19 infection? findings from germany’s largest public health department, cologne |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401106/ https://www.ncbi.nlm.nih.gov/pubmed/36001614 http://dx.doi.org/10.1371/journal.pone.0273496 |
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