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Effectiveness of Interventions to Reduce Contact Rates during a Simulated Influenza Pandemic

机译:在模拟流感大流行期间采取干预措施降低接触率的有效性

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摘要

Measures to decrease contact between persons during an influenza pandemic have been included in pandemic response plans. We used stochastic simulation models to explore the effects of school closings, voluntary confinements of ill persons and their household contacts, and reductions in contacts among long-term care facility (LTCF) residents on pandemic-related illness and deaths. Our findings suggest that school closings would not have a substantial effect on pandemic-related outcomes in the absence of measures to reduce out-of-school contacts. However, if persons with influenzalike symptoms and their household contacts were encouraged to stay home, then rates of illness and death might be reduced by ≈50%. By preventing ill LTCF residents from making contact with other residents, illness and deaths in this vulnerable population might be reduced by ≈60%. Restricting the activities of infected persons early in a pandemic could decrease negative health impact.
机译:大流行应对计划中已包括减少流感大流行期间人与人之间接触的措施。我们使用随机模拟模型来探讨学校停课,对病人及其家庭接触的自愿禁闭以及长期护理机构(LTCF)居民之间与大流行相关的疾病和死亡的接触减少的影响。我们的发现表明,在缺乏减少校外接触的措施的情况下,停课不会对与大流行相关的结果产生实质性影响。但是,如果鼓励患有流感样症状的人及其家庭接触者留在家中,那么疾病和死亡的比率可能会降低约50%。通过防止患病的LTCF居民与其他居民接触,该弱势人群的疾病和死亡人数可减少约60%。在大流行早期限制受感染者的活动可减少对健康的负面影响。

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