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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AIMS Press
2012-02-01
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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.   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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institution | Kabale University |
issn | 1551-0018 |
language | English |
publishDate | 2012-02-01 |
publisher | AIMS Press |
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series | Mathematical Biosciences and Engineering |
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.   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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