Combination strategies for pandemic influenza response - a systematic review of mathematical modeling studies
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Lee, Vernon
Lye, David C
Wilder-Smith, Annelies
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BioMed Central Ltd
Abstract
BACKGROUND: Individual strategies in pandemic preparedness plans may not reduce the impact of
an influenza pandemic.
METHODS: We searched modeling publications through PubMed and associated references from
1990 to 30 September 2009. Inclusion criteria were modeling papers quantifying the effectiveness
of combination strategies, both pharmaceutical and non-pharmaceutical.
RESULTS: Nineteen modeling papers on combination strategies were selected. Four studies
examined combination strategies on a global scale, 14 on single countries, and one on a small
community. Stochastic individual-based modeling was used in nine studies, stochastic metapopulation
modeling in five, and deterministic compartmental modeling in another five. As part of
combination strategies, vaccination was explored in eight studies, antiviral prophylaxis and/or
treatment in 16, area or household quarantine in eight, case isolation in six, social distancing
measures in 10 and air travel restriction in six studies. Two studies suggested a high probability of
successful influenza epicenter containment with combination strategies under favorable conditions.
During a pandemic, combination strategies delayed spread, reduced overall number of cases, and
delayed and reduced peak attack rate more than individual strategies. Combination strategies
remained effective at high reproductive numbers compared with single strategy. Global cooperative
strategies, including redistribution of antiviral drugs, were effective in reducing the global impact
and attack rates of pandemic influenza.
CONCLUSION: Combination strategies increase the effectiveness of individual strategies. They
include pharmaceutical (antiviral agents, antibiotics and vaccines) and non-pharmaceutical
interventions (case isolation, quarantine, personal hygiene measures, social distancing and travel
restriction). Local epidemiological and modeling studies are needed to validate efficacy and
feasibility.
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BMC Medicine 7.76 (2009)
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BMC Medicine
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