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Regional Studies, Regional Science Volume 8, 2021 - Issue 1
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Regional Graphic

Widespread swabs testing and the fight against the Covid-19 outbreak

Massimiliano Ferraresia European Commission, Joint Research Centre (JRC), Ispra, Italy.Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7378-4641
ORCID Icon,
Giuseppe Migalib Department of Economics, University of Lancaster, Lancaster, UK; and Department G.E.S., Magna Græcia University, Catanzaro, Italy. [email protected]ORCID Iconhttps://orcid.org/0000-0002-3782-6880
ORCID Icon,
Leonzio Rizzoc Department of Economics and Management, University of Ferrara, Ferrara, Italy; and IEB, Barcelona, Spain. [email protected]ORCID Iconhttps://orcid.org/0000-0001-8099-8699
ORCID Icon &
Riccardo Secomandid Department of Economics and Management, University of Ferrara, Ferrara, Italy. [email protected]ORCID Iconhttps://orcid.org/0000-0002-9696-6533
ORCID Icon
Pages 85-87 | Received 06 Sep 2020, Published online: 08 Apr 2021

Figures & data

Figure 1. Differential impact of widespread swaps testing policy on the number of total Covid-19 cases between the provinces of Brescia (control) and Verona (treated).

Note: The red vertical line indicates the day of the announcement. This graph is based on the estimates of a model where we use the total number of Covid-19 cases per 10,000 inhabitants as the dependent variable and the dummies for each day interacted with the treated province, controlling for province and day fixed effects. Dots represent point estimates taking the day before the announcement as the baseline; dashed lines denote 95% confidence intervals. Estimations are available from the authors upon request.

Figure 1. Differential impact of widespread swaps testing policy on the number of total Covid-19 cases between the provinces of Brescia (control) and Verona (treated).Note: The red vertical line indicates the day of the announcement. This graph is based on the estimates of a model where we use the total number of Covid-19 cases per 10,000 inhabitants as the dependent variable and the dummies for each day interacted with the treated province, controlling for province and day fixed effects. Dots represent point estimates taking the day before the announcement as the baseline; dashed lines denote 95% confidence intervals. Estimations are available from the authors upon request.

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