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Data for: "A New Dataset for Local and National COVID-19-Related Restrictions in Italy"

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Data for: "A New Dataset for Local and National COVID-19-Related Restrictions in Italy"
 
Identifier https://doi.org/10.7910/DVN/AGCWMH
 
Creator Conteduca, Francesco Paolo
Borin, Alessandro
 
Publisher Harvard Dataverse
 
Description This paper presents a novel dataset of non-pharmaceutical interventions adopted by Italian authorities to tackle the COVID-19 pandemic at the national and local levels. The dataset follows the structure of the Oxford Coronavirus Government Response Tracker (OxCGRT; Hale et al. in Nat Human Behav 5:529–538, https://doi.org/10.1038/s41562-021-01079-8, 2021)). We include several novelties with respect to the original source. First, we tailor the classification of provisions to the measures adopted in Italy. Second, we collect detailed information on local restrictions in the country, including lockdowns and school closures. Third, we apply a bottom-up approach to construct population-weighted average stringency indexes (Italian Stringency Indexes, ItSIs) at the provincial, regional, and country-wide levels. While expanding the geographical coverage of the stringency indicators, we preserve the comparability of the ItSIs with the original stringency index published in the OxCGRT. As an application, we show that the correlations of our ItSI with community mobility indicators and various measures of economic activity are higher than those obtained with the OxCGRT indicator.
 
Subject Medicine, Health and Life Sciences
Social Sciences
Covid-19
Non-pharmaceutical interventions
Italian stringency index
Local restrictions
 
Date 2024-03-04
 
Contributor Conteduca, Francesco Paolo