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Developing guidelines for school closure interventions to be used during a future influenza pandemic
Nilimesh Halder1, Joel K Kelso, George J Milne
1School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia.
School closures can reduce influenza spread, especially for less transmissible strains. For severe pandemics, combine school closures with antivirals for maximum impact.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Modeling
Background:
- The 2009 A/H1N1 influenza pandemic highlighted operational challenges in school closure interventions.
- Key issues included activation triggers, closure duration, and strategy type, with significant international variation.
- Computer simulation offers a method to refine school closure guidelines.
Purpose of the Study:
- To investigate the effectiveness of school closure interventions for influenza pandemics using simulation.
- To analyze various school closure strategies, durations, and activation triggers.
- To evaluate the impact of combining school closures with antiviral treatments.
Main Methods:
- An individual-based simulation model was employed.
- Simulations examined influenza pandemics with R0 values of 1.5, 2.0, and 2.5.
- Effectiveness of individual vs. simultaneous closures, 2-8 week durations, and daily diagnosed case triggers were analyzed.
Main Results:
- For R0=1.5, 8-week closures reduced attack rate by 14%; combined with antivirals, reduction was 19%.
- For R0 ≥ 2.0, school closures were less effective (4-9% reduction); combined with antivirals, a ~15% reduction was observed.
- Individual school closure strategies showed greater effectiveness than simultaneous closures.
Conclusions:
- Optimal school closure strategy depends on disease severity and transmissibility (R0).
- For low transmissibility (R0 < 2.0), individual closures triggered by daily case counts are recommended.
- For severe, highly transmissible epidemics (R0 ≥ 2.0), long-duration closures combined with other interventions are advised.
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