The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model

When a new pandemic influenza strain has been identified, mass-production of vaccines can take several months, andantiviral drugs are expensive and usually in short supply.Social distancing measures, such as school closures, thus seem an attractive means to mitigate disease spread.However, the trans...

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Main Authors: Sherry Towers, Katia Vogt Geisse, Chia-Chun Tsai, Qing Han, Zhilan Feng
Format: Article
Language:English
Published: AIMS Press 2012-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.413
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author Sherry Towers
Katia Vogt Geisse
Chia-Chun Tsai
Qing Han
Zhilan Feng
author_facet Sherry Towers
Katia Vogt Geisse
Chia-Chun Tsai
Qing Han
Zhilan Feng
author_sort Sherry Towers
collection DOAJ
description When a new pandemic influenza strain has been identified, mass-production of vaccines can take several months, andantiviral drugs are expensive and usually in short supply.Social distancing measures, such as school closures, thus seem an attractive means to mitigate disease spread.However, the transmission of influenza is seasonal in nature, and as has been noted in previousstudies,a decrease in the average transmission rate in a seasonal disease modelmay result in a larger final size.In the studies presented here,we analyze a hypothetical pandemic using a SIR epidemic model with time- and age-dependent transmissionrates; using this model weassess and quantify, for the first time, thethe effect of the timing and length of widespread school closures oninfluenza pandemic final size and average peak time.  &nbsp We find that the effect on pandemic progression strongly depends on the timing of the start of the school closure.For instance, we determine that schoolclosures during a late spring wave of an epidemiccan cause a pandemic to become up to 20% larger, but have the advantage that theaverage time of the peak is shifted by up to two months, possibly allowing enough time for development ofvaccines to mitigate the larger size of the epidemic.Our studies thus suggest that when heterogeneity intransmission is a significant factor, decisions of public health policy will be particularlyimportant as to how control measures such as school closures should be implemented.
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spelling doaj-art-036cd49d91e6423b8f017e80f6481cb22025-01-24T02:05:29ZengAIMS PressMathematical Biosciences and Engineering1551-00182012-02-019241343010.3934/mbe.2012.9.413The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR modelSherry Towers0Katia Vogt Geisse1Chia-Chun Tsai2Qing Han3Zhilan Feng4Department of Mathematics, Purdue University, West Lafayette, IN 47907Department of Mathematics, Purdue University, West Lafayette, IN 47907Department of Mathematics, Purdue University, West Lafayette, IN 47907Department of Mathematics, Purdue University, West Lafayette, IN 47907Department of Mathematics, Purdue University, West Lafayette, IN 47907When a new pandemic influenza strain has been identified, mass-production of vaccines can take several months, andantiviral drugs are expensive and usually in short supply.Social distancing measures, such as school closures, thus seem an attractive means to mitigate disease spread.However, the transmission of influenza is seasonal in nature, and as has been noted in previousstudies,a decrease in the average transmission rate in a seasonal disease modelmay result in a larger final size.In the studies presented here,we analyze a hypothetical pandemic using a SIR epidemic model with time- and age-dependent transmissionrates; using this model weassess and quantify, for the first time, thethe effect of the timing and length of widespread school closures oninfluenza pandemic final size and average peak time.  &nbsp We find that the effect on pandemic progression strongly depends on the timing of the start of the school closure.For instance, we determine that schoolclosures during a late spring wave of an epidemiccan cause a pandemic to become up to 20% larger, but have the advantage that theaverage time of the peak is shifted by up to two months, possibly allowing enough time for development ofvaccines to mitigate the larger size of the epidemic.Our studies thus suggest that when heterogeneity intransmission is a significant factor, decisions of public health policy will be particularlyimportant as to how control measures such as school closures should be implemented.https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.413epidemic modeldynamic systems.pandemic influenza
spellingShingle Sherry Towers
Katia Vogt Geisse
Chia-Chun Tsai
Qing Han
Zhilan Feng
The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
Mathematical Biosciences and Engineering
epidemic model
dynamic systems.
pandemic influenza
title The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
title_full The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
title_fullStr The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
title_full_unstemmed The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
title_short The impact of school closures on pandemic influenza:Assessing potential repercussions using a seasonal SIR model
title_sort impact of school closures on pandemic influenza assessing potential repercussions using a seasonal sir model
topic epidemic model
dynamic systems.
pandemic influenza
url https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.413
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