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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...

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Autores principales: Standl, Fabian, Kowall, Bernd, Frost, Anna Katharina, Brune, Bastian, Brinkmann, Marcus, Dudda, Marcel, Oesterling, Florian, Jansen, Philipp, Jöckel, Karl-Heinz, Stang, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Carol Davila University Press 2021
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.
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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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