ArticleBMC infectious diseases2014
Mitigation of infectious disease at school: targeted class closure vs school closure.
Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
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Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk of infection and transmission of SARS-CoV-2 among children and adolescents in households, communities and educational settings: A systematic review and meta-analysis.Journal of global health · 2021Pooled it
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- Understanding and addressing the obstacles to a trial of face masks in schools: a mixed-methods feasibility study.Pilot and feasibility studies · 2026Article
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- Impact of non-pharmaceutical interventions of the COVID-19 pandemic on the trend of seasonal influenza in Kingdom of Saudi Arabia.BMC infectious diseases · 2025Observational
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- Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.PLoS computational biology · 2024Article
- Structure and inference in hypergraphs with node attributes.Nature communications · 2024Article
- Long-term surveillance of SARS-CoV-2 in the school community from Campo Grande, Brazil.BMC public health · 2024Article
- Infection patterns in simple and complex contagion processes on networks.PLoS computational biology · 2024Article
- Impact of the COVID-19 outbreak and interventions on hand, foot and mouth disease in Zhengzhou, China, 2014-2022: a retrospective study.BMC infectious diseases · 2024Article
- Patterns in Temporal Networks with Higher-Order Egocentric Structures.Entropy (Basel, Switzerland) · 2024Article
- Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion.Journal of the Royal Society, Interface · 2024Article
- Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs.PLoS computational biology · 2023Article
- State-switching and high-order spatiotemporal organization of dynamic functional connectivity are disrupted by Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2023Article
- Direct indicators of social distancing effectiveness in COVID-19 outbreak stages: a correlational analysis of case contacts and population mobility in Korea.Epidemiology and health · 2023Article
- Assessing the impact of COVID-19 interventions on the hand, foot and mouth disease in Guangdong Province, China: a Bayesian modeling study.Frontiers in public health · 2023Article
- Inference of hyperedges and overlapping communities in hypergraphs.Nature communications · 2022Article
- Statistical inference links data and theory in network science.Nature communications · 2022Review
- Impact of contact data resolution on the evaluation of interventions in mathematical models of infectious diseases.Journal of the Royal Society, Interface · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchool environments are thought to play an important role in the community spread of infectious diseases such as influenza because of the high mixing rates of school children. The closure of schools has therefore been proposed as an efficient mitigation strategy. Such measures come however with high associated social and economic costs, making alternative, less disruptive interventions highly desirable. The recent availability of high-resolution contact network data from school environments provides an opportunity to design models of micro-interventions and compare the outcomes of alternative mitigation measures. METHODS AND
resultsWe model mitigation measures that involve the targeted closure of school classes or grades based on readily available information such as the number of symptomatic infectious children in a class. We focus on the specific case of a primary school for which we have high-resolution data on the close-range interactions of children and teachers. We simulate the spread of an influenza-like illness in this population by using an SEIR model with asymptomatics, and compare the outcomes of different mitigation strategies. We find that targeted class closure affords strong mitigation effects: closing a class for a fixed period of time--equal to the sum of the average infectious and latent durations--whenever two infectious individuals are detected in that class decreases the attack rate by almost 70% and significantly decreases the probability of a severe outbreak. The closure of all classes of the same grade mitigates the spread almost as much as closing the whole school.
conclusionsOur model of targeted class closure strategies based on readily available information on symptomatic subjects and on limited information on mixing patterns, such as the grade structure of the school, shows that these strategies might be almost as effective as whole-school closure, at a much lower cost. This may inform public health policies for the management and mitigation of influenza-like outbreaks in the community.
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