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    Chapter Measuring the effectiveness of COVID-19 containment policies in Italian regions: are we doing enough?

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    Author(s)
    Panarello, Demetrio cc
    Tassinari, Giorgio cc
    Language
    English
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    Abstract
    A successful fight against COVID-19 greatly depends on citizens’ adherence to the restrictive measures, which may not suffice alone. Making use of a containment index, data on sanctions, and Google’s movement trends across Italian regions, complemented by other sources, we investigate the extent to which compliance with the mobility limitations has affected the number of deaths over time in the period from the 24th of February 2020 to the 9th of November 2020, by using panel data for Italian regions, analysed through a negative binomial regression method. We also differentiated the study period, estimating two distinct models on two subsamples: until the 13th of September and since the 14th of September. In so doing, we show how the pandemic dynamics have changed between the first and the second wave of the emergency. Our results highlight that the importance of the restrictive measures and of citizens’ accord on their abidance has greatly increased since the end of the summer, also because the stringency level of the adopted measures has critically declined. Informing citizens about the effects and purposes of the restrictive measures is of paramount importance, especially in the current phase of the pandemic.
    URI
    https://library.oapen.org/handle/20.500.12657/58228
    Keywords
    Compliance rate; Schools reopening; Second wave of COVID-19; Google Community Mobility Reports; Stringency index
    DOI
    10.36253/978-88-5518-461-8.15
    ISBN
    9788855184618, 9788855184618
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    Florence, 2021
    Series
    Proceedings e report, 132
    Classification
    Social research & statistics
    Pages
    6
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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