Simulating school closure policies for cost effective pandemic decision making

Ozgur Araz, Paul Damien, David A. Paltiel, Sean Burke, Bryce Van De Geijn, Alison Galvani, Lauren Ancel Meyers

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Background: Around the globe, school closures were used sporadically to mitigate the 2009 H1N1 influenza pandemic. However, such closures can detrimentally impact economic and social life. Methods. Here, we couple a decision analytic approach with a mathematical model of influenza transmission to estimate the impact of school closures in terms of epidemiological and cost effectiveness. Our method assumes that the transmissibility and the severity of the disease are uncertain, and evaluates several closure and reopening strategies that cover a range of thresholds in school-aged prevalence (SAP) and closure durations. Results: Assuming a willingness to pay per quality adjusted life-year (QALY) threshold equal to the US per capita GDP ($46,000), we found that the cost effectiveness of these strategies is highly dependent on the severity and on a willingness to pay per QALY. For severe pandemics, the preferred strategy couples the earliest closure trigger (0.5% SAP) with the longest duration closure (24weeks) considered. For milder pandemics, the preferred strategies also involve the earliest closure trigger, but are shorter duration (12weeks for low transmission rates and variable length for high transmission rates). Conclusions: These findings highlight the importance of obtaining early estimates of pandemic severity and provide guidance to public health decision-makers for effectively tailoring school closures strategies in response to a newly emergent influenza pandemic.

Original languageEnglish (US)
Article number449
JournalBMC Public Health
Volume12
Issue number1
DOIs
StatePublished - Jun 20 2012

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Pandemics
Decision Making
Costs and Cost Analysis
Human Influenza
Quality-Adjusted Life Years
Cost-Benefit Analysis
Theoretical Models
Public Health
Economics

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Araz, O., Damien, P., Paltiel, D. A., Burke, S., Van De Geijn, B., Galvani, A., & Meyers, L. A. (2012). Simulating school closure policies for cost effective pandemic decision making. BMC Public Health, 12(1), [449]. https://doi.org/10.1186/1471-2458-12-449

Simulating school closure policies for cost effective pandemic decision making. / Araz, Ozgur; Damien, Paul; Paltiel, David A.; Burke, Sean; Van De Geijn, Bryce; Galvani, Alison; Meyers, Lauren Ancel.

In: BMC Public Health, Vol. 12, No. 1, 449, 20.06.2012.

Research output: Contribution to journalArticle

Araz, O, Damien, P, Paltiel, DA, Burke, S, Van De Geijn, B, Galvani, A & Meyers, LA 2012, 'Simulating school closure policies for cost effective pandemic decision making', BMC Public Health, vol. 12, no. 1, 449. https://doi.org/10.1186/1471-2458-12-449
Araz O, Damien P, Paltiel DA, Burke S, Van De Geijn B, Galvani A et al. Simulating school closure policies for cost effective pandemic decision making. BMC Public Health. 2012 Jun 20;12(1). 449. https://doi.org/10.1186/1471-2458-12-449
Araz, Ozgur ; Damien, Paul ; Paltiel, David A. ; Burke, Sean ; Van De Geijn, Bryce ; Galvani, Alison ; Meyers, Lauren Ancel. / Simulating school closure policies for cost effective pandemic decision making. In: BMC Public Health. 2012 ; Vol. 12, No. 1.
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