Search Results - "Messerschmidt, Luca"
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COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
Published in Nature human behaviour (01-07-2020)“…Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded…”
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Windows of repression: Using COVID-19 policies against political dissidents?
Published in Journal of peace research (01-01-2022)“…What explains the great variation in the adoption, timing, and duration of government policies made in response to the COVID-19 pandemic? In this article, we…”
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A comparative analysis of the effects of containment policies on the epidemiological manifestation of the COVID-19 pandemic across nine European countries
Published in Scientific reports (19-07-2023)“…The COVID-19 pandemic has been a catastrophic event that has seriously endangered the world’s population. Governments have largely been unprepared to deal with…”
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A General Primer for Data Harmonization
Published in Scientific data (31-01-2024)“…Data harmonization is an important method for combining or transforming data. To date however, articles about data harmonization are field-specific and highly…”
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Harmonizing government responses to the COVID-19 pandemic
Published in Scientific data (14-02-2024)“…Public health and safety measures (PHSM) made in response to the COVID-19 pandemic have been singular, rapid, and profuse compared to the content, speed, and…”
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Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science
Published in Scientific data (26-08-2022)“…In response to COVID-19, governments worldwide are implementing public health and social measures ( PHSM ) that substantially impact many areas beyond public…”
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Unravelling the ‘race to the bottom’ argument: Foreign direct investment and different types of labour rights
Published in World development (01-01-2023)“…•New theory: Governments tend to protect collective worker rights, in the presence of FDI, as these rights are not immediately costly to firms.•New data: We…”
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A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (07-05-2024)“…We present an original approach for measuring infections as a latent variable and making use of serological and expert surveys to provide ground truth…”
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