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      On the determinants of anti-COVID restriction and anti-vaccine movements: the case of IoApro in Italy

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          Abstract

          Following restrictions to control the spread of COVID-19, and subsequent vaccination campaigns, sentiments against such policies were quick to arise. While individual-level determinants that led to such attitudes have drawn much attention, there are also reasons to believe that the macro context in which these movements arose may contribute to their evolution. In this study, exploiting data on business activities which supported a major Italian anti-restriction and anti-vaccine movement, IoApro, using quantitative analysis that employs both a fractional response probit and logit model and a beta regression model, we investigate the relationship between socio-economic characteristics, institutional quality, and the flourishing of this movement. Our results suggest a U-shaped relationship between income and the proliferation of the movement, meaning that support for these movements increases the greater the degree of economic decline. Our results further indicate that the share of the population between 40 and 60 years old is positively related to support for such movements, as is institutional corruption.

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          A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

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            Ranking the effectiveness of worldwide COVID-19 government interventions

            Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we quantify the impact of 6,068 hierarchically coded NPIs implemented in 79 territories on the effective reproduction number, Rt, of COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. We validate our findings with two external datasets recording 42,151 additional NPIs from 226 countries. Our results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus. Less disruptive and costly NPIs can be as effective as more intrusive, drastic, ones (for example, a national lockdown). Using country-specific 'what-if' scenarios, we assess how the effectiveness of NPIs depends on the local context such as timing of their adoption, opening the way for forecasting the effectiveness of future interventions.
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              Beta Regression for Modelling Rates and Proportions

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                Author and article information

                Contributors
                vincenzo.alfano@uniparthenope.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 October 2023
                5 October 2023
                2023
                : 13
                : 16784
                Affiliations
                [1 ]DiSEGIM, University of Napoli Parthenope, ( https://ror.org/05pcv4v03) Naples, Italy
                [2 ]Center for Economic Studies - CES-Ifo, Munich, Germany
                [3 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Department of Human and Social Sciences, , Italian National Research Council, ; Rome, Italy
                [4 ]University of Napoli Parthenope, ( https://ror.org/05pcv4v03) Naples, Italy
                [5 ]CSEF, University of Naples Federico II, ( https://ror.org/05290cv24) Naples, Italy
                [6 ]Department of Economics, University of Messina, ( https://ror.org/05ctdxz19) Messina, Italy
                Article
                42133
                10.1038/s41598-023-42133-x
                10556032
                37798271
                390ee502-fe0f-4cee-9ac2-8047fbfa8f65
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 November 2022
                : 5 September 2023
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                © Springer Nature Limited 2023

                Uncategorized
                health care,public health,quality of life
                Uncategorized
                health care, public health, quality of life

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