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Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics

School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis of four types o...

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Autores principales: Fumanelli, Laura, Ajelli, Marco, Merler, Stefano, Ferguson, Neil M., Cauchemez, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721867/
https://www.ncbi.nlm.nih.gov/pubmed/26796333
http://dx.doi.org/10.1371/journal.pcbi.1004681
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author Fumanelli, Laura
Ajelli, Marco
Merler, Stefano
Ferguson, Neil M.
Cauchemez, Simon
author_facet Fumanelli, Laura
Ajelli, Marco
Merler, Stefano
Ferguson, Neil M.
Cauchemez, Simon
author_sort Fumanelli, Laura
collection PubMed
description School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis of four types of school closure, ranging from the nationwide closure of all schools at the same time to reactive gradual closure, starting from class-by-class, then grades and finally the whole school. We consider policies based on triggers that are feasible to monitor, such as school absenteeism and national ILI surveillance system. We found that, under specific constraints on the average number of weeks lost per student, reactive school-by-school, gradual, and county-wide closure give comparable outcomes in terms of optimal infection attack rate reduction, peak incidence reduction or peak delay. Optimal implementations generally require short closures of one week each; this duration is long enough to break the transmission chain without leading to unnecessarily long periods of class interruption. Moreover, we found that gradual and county closures may be slightly more easily applicable in practice as they are less sensitive to the value of the excess absenteeism threshold triggering the start of the intervention. These findings suggest that policy makers could consider school closure policies more diffusely as response strategy to influenza epidemics and pandemics, and the fact that some countries already have some experience of gradual or regional closures for seasonal influenza outbreaks demonstrates that logistic and feasibility challenges of school closure strategies can be to some extent overcome.
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spelling pubmed-47218672016-01-30 Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics Fumanelli, Laura Ajelli, Marco Merler, Stefano Ferguson, Neil M. Cauchemez, Simon PLoS Comput Biol Research Article School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis of four types of school closure, ranging from the nationwide closure of all schools at the same time to reactive gradual closure, starting from class-by-class, then grades and finally the whole school. We consider policies based on triggers that are feasible to monitor, such as school absenteeism and national ILI surveillance system. We found that, under specific constraints on the average number of weeks lost per student, reactive school-by-school, gradual, and county-wide closure give comparable outcomes in terms of optimal infection attack rate reduction, peak incidence reduction or peak delay. Optimal implementations generally require short closures of one week each; this duration is long enough to break the transmission chain without leading to unnecessarily long periods of class interruption. Moreover, we found that gradual and county closures may be slightly more easily applicable in practice as they are less sensitive to the value of the excess absenteeism threshold triggering the start of the intervention. These findings suggest that policy makers could consider school closure policies more diffusely as response strategy to influenza epidemics and pandemics, and the fact that some countries already have some experience of gradual or regional closures for seasonal influenza outbreaks demonstrates that logistic and feasibility challenges of school closure strategies can be to some extent overcome. Public Library of Science 2016-01-21 /pmc/articles/PMC4721867/ /pubmed/26796333 http://dx.doi.org/10.1371/journal.pcbi.1004681 Text en © 2016 Fumanelli et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Fumanelli, Laura
Ajelli, Marco
Merler, Stefano
Ferguson, Neil M.
Cauchemez, Simon
Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title_full Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title_fullStr Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title_full_unstemmed Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title_short Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics
title_sort model-based comprehensive analysis of school closure policies for mitigating influenza epidemics and pandemics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721867/
https://www.ncbi.nlm.nih.gov/pubmed/26796333
http://dx.doi.org/10.1371/journal.pcbi.1004681
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