Economic evaluation of influenza pandemic mitigation strategies in the United States using a stochastic microsimulation transmission model

利用随机微观模拟传播模型对美国流感大流行缓解策略进行经济评估

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Abstract

OBJECTIVES: To project the potential economic impact of pandemic influenza mitigation strategies from a societal perspective in the United States. METHODS: We use a stochastic agent-based model to simulate pandemic influenza in the community. We compare 17 strategies: targeted antiviral prophylaxis (TAP) alone and in combination with school closure as well as prevaccination. RESULTS: In the absence of intervention, we predict a 50% attack rate with an economic impact of $187 per capita as loss to society. Full TAP (FTAP) is the most effective single strategy, reducing number of cases by 54% at the lowest cost to society ($127 per capita). Prevaccination reduces number of cases by 48% and is the second least costly alternative ($140 per capita). Adding school closure to FTAP or prevaccination further improves health outcomes but increases total cost to society by approximately $2700 per capita. CONCLUSION: FTAP is an effective and cost-saving measure for mitigating pandemic influenza.

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