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upsurge of contagion by combining a weekly panel of geocoded Covid-19 cases in Sicilian census areas with a singular set of college data. The identification of the impact takes benefit of each a spatial and time-variation in class opening, deriving by the flexibleness in opening dates determined by a Regional Decree, and by the occurrence of a national referendum, which pulled a set of ballot-station faculties in the direction of opening on the twenty fourth of September. The evaluation finds that census areas where colleges opened earlier than noticed a major and positive improve of Covid-19 instances between 1.5-2.9%. This result’s consistent across a number of specs, including accounting for several schools opening determinants, such as the number of momentary academics, Covid-19 instances in August, and pupils with particular wants. Besides, faculty opening increases non-linearly the variety of instances in zones observing already some Covid-19 circumstances. Using the estimated coefficients, this paper additionally presents a prediction of Covid-19 instances with totally different faculty opening scenarios. Finally, an exploration of the heterogeneity at school and demographic ranges, including class dimension and age, poses the premise for calibrated insurance policies to control differential reopening. Health impacts embody both the direct effects of extreme weather, resulting in injury and lack of life, as well
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