A cross-sectional and prospective cohort study of the role of schools in the SARS-CoV-2 second wave in Italy

Background: During COVID-19 pandemic, school closure has been mandated in analogy to its effect against influenza, but it is unclear whether schools are early COVID-19 amplifiers. Methods: We performed a cross-sectional and prospective cohort study in Italy during the second COVID-19 wave (from Sept...

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Main Authors: Sara Gandini (Author), Maurizio Rainisio (Author), Maria Luisa Iannuzzo (Author), Federica Bellerba (Author), Francesco Cecconi (Author), Luca Scorrano (Author)
Format: Book
Published: Elsevier, 2021-06-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Sara Gandini  |e author 
700 1 0 |a Maurizio Rainisio  |e author 
700 1 0 |a Maria Luisa Iannuzzo  |e author 
700 1 0 |a Federica Bellerba  |e author 
700 1 0 |a Francesco Cecconi  |e author 
700 1 0 |a Luca Scorrano  |e author 
245 0 0 |a A cross-sectional and prospective cohort study of the role of schools in the SARS-CoV-2 second wave in Italy 
260 |b Elsevier,   |c 2021-06-01T00:00:00Z. 
500 |a 2666-7762 
500 |a 10.1016/j.lanepe.2021.100092 
520 |a Background: During COVID-19 pandemic, school closure has been mandated in analogy to its effect against influenza, but it is unclear whether schools are early COVID-19 amplifiers. Methods: We performed a cross-sectional and prospective cohort study in Italy during the second COVID-19 wave (from September 30, 2020 until at least February 28, 2021). We used databases from the Italian Ministry of Education, the Veneto region systems of SARS-CoV-2 cases notification and of schools' secondary cases tracing to compare SARS-CoV-2 incidence in students/school staff and general population and incidence across age groups. Number of tests, secondary infections by type of index case and ratio cases/ tests per school were estimated using an adjusted multivariable generalized linear regression model. Regional reproduction numbers Rt were estimated from Italian Civil Protection daily incidence data with a method of posterior distribution using a Markov Chain Monte Carlo algorithm. Findings: SARS-CoV-2 incidence among students was lower than in the general population. Secondary infections at school were <1%, and clusters of ≥2 secondary cases occurred in 5-7% of the analysed schools. Incidence among teachers was comparable to the population of similar age (P = 0.23). Secondary infections among teachers were rare, occurring more frequently when the index case was a teacher than a student (37% vs. 10%, P = 0.007). Before and around the date of school opening in Veneto, SARS-CoV-2 incidence grew maximally in 20-29- and 45-49-years old individuals, not among students. The lag between school opening dates in Italian regions and the increase in the regional COVID-19 Rt was not uniform. Finally, school closures in two regions where they were implemented before other measures did not affect Rt decrease. Interpretation: This analysis does not support a role for school opening as a driver of the second COVID-19 wave in Italy, a large European country with high SARS-CoV-2 incidence. Funding: Fondazione MITE. 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n The Lancet Regional Health. Europe, Vol 5, Iss , Pp 100092- (2021) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2666776221000697 
787 0 |n https://doaj.org/toc/2666-7762 
856 4 1 |u https://doaj.org/article/5d6ac23729cf4abe8b3e5b5f5061d02f  |z Connect to this object online.