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Assessing the impact of COVID-19 mass testing in South Tyrol using a semi-parametric growth model.
Ferrari, Davide; Stillman, Steven; Tonin, Mirco.
  • Ferrari D; Faculty of Economics and Management, Free University of Bozen-Bolzano, Piazza Università 1, 39100, Bolzano, Italy. davferrari@unibz.it.
  • Stillman S; Faculty of Economics and Management, Free University of Bozen-Bolzano, Piazza Università 1, 39100, Bolzano, Italy.
  • Tonin M; Faculty of Economics and Management, Free University of Bozen-Bolzano, Piazza Università 1, 39100, Bolzano, Italy.
Sci Rep ; 12(1): 17952, 2022 Oct 26.
Article in English | MEDLINE | ID: covidwho-2087282
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biological Phenomena / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-21292-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biological Phenomena / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-21292-3