Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

How Schools affected COVID-19 Pandemic in Italy: Data Analysis for Lombardy Region, Campania Region, and Emilia Region

Version 1 : Received: 24 March 2021 / Approved: 25 March 2021 / Online: 25 March 2021 (14:35:53 CET)

How to cite: Tosi, D.; Siro Campi, A. How Schools affected COVID-19 Pandemic in Italy: Data Analysis for Lombardy Region, Campania Region, and Emilia Region. Preprints 2021, 2021030623 (doi: 10.20944/preprints202103.0623.v1). Tosi, D.; Siro Campi, A. How Schools affected COVID-19 Pandemic in Italy: Data Analysis for Lombardy Region, Campania Region, and Emilia Region. Preprints 2021, 2021030623 (doi: 10.20944/preprints202103.0623.v1).

Abstract

Background: CoronaVirus Disease 2019 (COVID-19) is the main discussed topic world-wide in 2020 and at the beginning of the Italian epidemic, scientists tried to understand the virus diffusion and the epidemic curve of positive cases with controversial findings and numbers. Objectives: In this paper, a data analytics study on the diffusion of COVID-19 in Lombardy Region and Campania Region is developed in order to identify the driver that sparked the second wave in Italy Methods: Starting from all the available official data collected about the diffusion of COVID-19, we analyzed google mobility data, school data and infection data for two big regions in Italy: Lombardy Region and Campania Region, which adopted two different approaches in opening and closing schools. To reinforce our findings, we also extended the analysis to the Emilia Romagna Region. Results: The paper aims at showing how different policies adopted in school opening / closing may have on the impact on the COVID-19 spread. Conclusions: The paper shows that a clear correlation exists between the school contagion and the subsequent temporal overall contagion in a geographical area.

Subject Areas

SARS-CoV-2; Big Data; Data Analytics; Predictive Models; Schools

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