Dataset Information

School Closure and Children in the Outbreak of COVID-19.

ABSTRACT: School closure and home confinement are two of the measures of lockdown chosen by governments and policymakers all over the world to prevent and limit the spread of the infection of COVID-19. There is still an open debate about the real effect of school closure on the reduction of risk of infection on children and the risk of infection on with other age groups (parents, grandparents and others). There is an agreement on the effect of school closure in reducing and delaying the peak of the outbreak. In this Editorial, starting from the ongoing Italian experience, we discuss direct and indirect effects of school closure on children's psychological health and learning. We also highlight the need for an "on peace time" planning of measures and strategies necessary to face the direct and indirect effect of this outbreak and other outbreaks, on children's psychological health.

SUBMITTER: Petretto DR

PROVIDER: S-EPMC7476239 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

School Closure and Children in the Outbreak of COVID-19.

Petretto Donatella Rita DR Masala Ilaria I Masala Carmelo C

Clinical practice and epidemiology in mental health : CP & EMH 20200818

School closure and home confinement are two of the measures of lockdown chosen by governments and policymakers all over the world to prevent and limit the spread of the infection of COVID-19. There is still an open debate about the real effect of school closure on the reduction of risk of infection on children and the risk of infection on with other age groups (parents, grandparents and others). There is an agreement on the effect of school closure in reducing and delaying the peak of the outbre ...[more]

PMID: 32944059

Similar Datasets

Project description:BackgroundThe province of Ontario, Canada, has instituted indefinite school closures (SC) as well as other social distancing measures to mitigate the impact of the novel coronavirus disease 2019 (COVID-19) pandemic. We sought to evaluate the effect of SC on reducing attack rate and the need for critical care during COVID-19 outbreaks, while considering scenarios with concurrent implementation of self-isolation (SI) of symptomatic cases.MethodsWe developed an age-structured agent-based simulation model and parameterized it with the demographics of Ontario stratified by age and the latest estimates of COVID-19 epidemiologic characteristics. Disease transmission was simulated within and between different age groups by considering inter- and intra-group contact patterns. The effect of SC of varying durations on the overall attack rate, magnitude and peak time of the outbreak, and requirement for intensive care unit (ICU) admission in the population was estimated. Secondly, the effect of concurrent community-based voluntary SI of symptomatic COVID-19 cases was assessed.ResultsSC reduced attack rates in the range of 7.2-12.7% when the duration of SC increased from 3 to 16 weeks, when contacts among school children were restricted by 60-80%, and in the absence of SI by mildly symptomatic persons. Depending on the scenario, the overall reduction in ICU admissions attributed to SC throughout the outbreak ranged from 3.3 to 6.7%. When SI of mildly symptomatic persons was included and practiced by 20%, the reduction of attack rate and ICU admissions exceeded 6.3% and 9.1% (on average), respectively, in the corresponding scenarios.ConclusionOur results indicate that SC may have limited impact on reducing the burden of COVID-19 without measures to interrupt the chain of transmission during both pre-symptomatic and symptomatic stages. While highlighting the importance of SI, our findings indicate the need for better understanding of the epidemiologic characteristics of emerging diseases on the effectiveness of social distancing measures.

Dataset Information

School Closure and Children in the Outbreak of COVID-19.

Publications

School Closure and Children in the Outbreak of COVID-19.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets