Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model
Abstract 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 innova...
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-21292-3 |
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author | Davide Ferrari Steven Stillman Mirco Tonin |
author_facet | Davide Ferrari Steven Stillman Mirco Tonin |
author_sort | Davide Ferrari |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-04-13T17:18:42Z |
format | Article |
id | doaj.art-9191009d16144475b88fac5fade6a13f |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-13T17:18:42Z |
publishDate | 2022-10-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-9191009d16144475b88fac5fade6a13f2022-12-22T02:38:04ZengNature PortfolioScientific Reports2045-23222022-10-011211910.1038/s41598-022-21292-3Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth modelDavide Ferrari0Steven Stillman1Mirco Tonin2Faculty of Economics and Management, Free University of Bozen-BolzanoFaculty of Economics and Management, Free University of Bozen-BolzanoFaculty of Economics and Management, Free University of Bozen-BolzanoAbstract 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.https://doi.org/10.1038/s41598-022-21292-3 |
spellingShingle | Davide Ferrari Steven Stillman Mirco Tonin Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-022-21292-3 |
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