Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model

Mass antigen testing has been proposed as a possible cost-effective tool to contain the COVID-19 pandemic. We test the impact of a voluntary mass testing campaign implemented in the Italian region of South Tyrol on the spread of the virus in the following months. We do so by using an innovative empi...

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Detalles Bibliográficos
Autores principales: Ferrari, Davide, Stillman, Steven, Tonin, Mirco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605953/
https://www.ncbi.nlm.nih.gov/pubmed/36289286
http://dx.doi.org/10.1038/s41598-022-21292-3
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author Ferrari, Davide
Stillman, Steven
Tonin, Mirco
author_facet Ferrari, Davide
Stillman, Steven
Tonin, Mirco
author_sort Ferrari, Davide
collection PubMed
description Mass antigen testing has been proposed as a possible cost-effective tool to contain the COVID-19 pandemic. We test the impact of a voluntary mass testing campaign implemented in the Italian region of South Tyrol on the spread of the virus in the following months. We do so by using an innovative empirical approach which embeds a semi-parametric growth model—where COVID-19 transmission dynamics are allowed to vary across regions and to be impacted by the implementation of the mass testing campaign—into a synthetic control framework which creates an appropriate control group of other Italian regions. Our results suggest that mass testing campaigns are useful instruments for mitigating the pandemic.
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spelling pubmed-96059532022-10-28 Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model Ferrari, Davide Stillman, Steven Tonin, Mirco Sci Rep Article Mass antigen testing has been proposed as a possible cost-effective tool to contain the COVID-19 pandemic. We test the impact of a voluntary mass testing campaign implemented in the Italian region of South Tyrol on the spread of the virus in the following months. We do so by using an innovative empirical approach which embeds a semi-parametric growth model—where COVID-19 transmission dynamics are allowed to vary across regions and to be impacted by the implementation of the mass testing campaign—into a synthetic control framework which creates an appropriate control group of other Italian regions. Our results suggest that mass testing campaigns are useful instruments for mitigating the pandemic. Nature Publishing Group UK 2022-10-26 /pmc/articles/PMC9605953/ /pubmed/36289286 http://dx.doi.org/10.1038/s41598-022-21292-3 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/) .
spellingShingle Article
Ferrari, Davide
Stillman, Steven
Tonin, Mirco
Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title_full Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title_fullStr Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title_full_unstemmed Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title_short Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
title_sort assessing the impact of covid-19 mass testing in south tyrol using a semi-parametric growth model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605953/
https://www.ncbi.nlm.nih.gov/pubmed/36289286
http://dx.doi.org/10.1038/s41598-022-21292-3
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