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Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests
Current European research estimates the number of undetected active SARS-CoV-2 infections (dark figure) to be two- to 130-fold the number of detected cases. We revisited the population-wide antigen tests in Slovakia and South Tyrol and calculated the dark figure of active cases in the vulnerable pop...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Carol Davila University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811667/ https://www.ncbi.nlm.nih.gov/pubmed/35126750 http://dx.doi.org/10.25122/jml-2021-0243 |
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author | Standl, Fabian Kowall, Bernd Frost, Anna Katharina Brune, Bastian Brinkmann, Marcus Dudda, Marcel Oesterling, Florian Jansen, Philipp Jöckel, Karl-Heinz Stang, Andreas |
author_facet | Standl, Fabian Kowall, Bernd Frost, Anna Katharina Brune, Bastian Brinkmann, Marcus Dudda, Marcel Oesterling, Florian Jansen, Philipp Jöckel, Karl-Heinz Stang, Andreas |
author_sort | Standl, Fabian |
collection | PubMed |
description | Current European research estimates the number of undetected active SARS-CoV-2 infections (dark figure) to be two- to 130-fold the number of detected cases. We revisited the population-wide antigen tests in Slovakia and South Tyrol and calculated the dark figure of active cases in the vulnerable populations and the number of undetected active cases per detected active case at the time of the population-wide tests. Our analysis follows three steps: using the sensitivities and specificities of the used antigen tests, we first calculated the number of test-positive individuals and the proportion of actual positives in those who participated in the antigen tests. We then calculated the dark figure in the total population of Slovakia and South Tyrol, respectively. Finally, we calculated the ratio of the dark figure in the vulnerable population to the number of newly detected infections through PCR tests. Per one positive PCR result, another 0.15 to 0.71 cases must be added in South Tyrol and 0.01 to 1.25 cases in Slovakia. The dark figure was in both countries lower than assumed by earlier studies. |
format | Online Article Text |
id | pubmed-8811667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Carol Davila University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88116672022-02-03 Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests Standl, Fabian Kowall, Bernd Frost, Anna Katharina Brune, Bastian Brinkmann, Marcus Dudda, Marcel Oesterling, Florian Jansen, Philipp Jöckel, Karl-Heinz Stang, Andreas J Med Life Original Article Current European research estimates the number of undetected active SARS-CoV-2 infections (dark figure) to be two- to 130-fold the number of detected cases. We revisited the population-wide antigen tests in Slovakia and South Tyrol and calculated the dark figure of active cases in the vulnerable populations and the number of undetected active cases per detected active case at the time of the population-wide tests. Our analysis follows three steps: using the sensitivities and specificities of the used antigen tests, we first calculated the number of test-positive individuals and the proportion of actual positives in those who participated in the antigen tests. We then calculated the dark figure in the total population of Slovakia and South Tyrol, respectively. Finally, we calculated the ratio of the dark figure in the vulnerable population to the number of newly detected infections through PCR tests. Per one positive PCR result, another 0.15 to 0.71 cases must be added in South Tyrol and 0.01 to 1.25 cases in Slovakia. The dark figure was in both countries lower than assumed by earlier studies. Carol Davila University Press 2021 /pmc/articles/PMC8811667/ /pubmed/35126750 http://dx.doi.org/10.25122/jml-2021-0243 Text en ©2021 JOURNAL of MEDICINE and LIFE https://creativecommons.org/licenses/by/3.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Original Article Standl, Fabian Kowall, Bernd Frost, Anna Katharina Brune, Bastian Brinkmann, Marcus Dudda, Marcel Oesterling, Florian Jansen, Philipp Jöckel, Karl-Heinz Stang, Andreas Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title | Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title_full | Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title_fullStr | Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title_full_unstemmed | Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title_short | Calculating the number of undetected active SARS-CoV-2 infections from results of population-wide antigen tests |
title_sort | calculating the number of undetected active sars-cov-2 infections from results of population-wide antigen tests |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811667/ https://www.ncbi.nlm.nih.gov/pubmed/35126750 http://dx.doi.org/10.25122/jml-2021-0243 |
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