Ferguson Neil M, Cummings Derek A T, Fraser Christophe, Cajka James C, Cooley Philip C, Burke Donald S
Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK.
Nature. 2006 Jul 27;442(7101):448-52. doi: 10.1038/nature04795. Epub 2006 Apr 26.
Development of strategies for mitigating the severity of a new influenza pandemic is now a top global public health priority. Influenza prevention and containment strategies can be considered under the broad categories of antiviral, vaccine and non-pharmaceutical (case isolation, household quarantine, school or workplace closure, restrictions on travel) measures. Mathematical models are powerful tools for exploring this complex landscape of intervention strategies and quantifying the potential costs and benefits of different options. Here we use a large-scale epidemic simulation to examine intervention options should initial containment of a novel influenza outbreak fail, using Great Britain and the United States as examples. We find that border restrictions and/or internal travel restrictions are unlikely to delay spread by more than 2-3 weeks unless more than 99% effective. School closure during the peak of a pandemic can reduce peak attack rates by up to 40%, but has little impact on overall attack rates, whereas case isolation or household quarantine could have a significant impact, if feasible. Treatment of clinical cases can reduce transmission, but only if antivirals are given within a day of symptoms starting. Given enough drugs for 50% of the population, household-based prophylaxis coupled with reactive school closure could reduce clinical attack rates by 40-50%. More widespread prophylaxis would be even more logistically challenging but might reduce attack rates by over 75%. Vaccine stockpiled in advance of a pandemic could significantly reduce attack rates even if of low efficacy. Estimates of policy effectiveness will change if the characteristics of a future pandemic strain differ substantially from those seen in past pandemics.
制定减轻新型流感大流行严重程度的策略现已成为全球公共卫生的首要任务。流感预防和控制策略可大致分为抗病毒、疫苗和非药物(病例隔离、家庭隔离、学校或工作场所关闭、旅行限制)措施。数学模型是探索这一复杂干预策略格局并量化不同选项潜在成本和收益的有力工具。在此,我们以英国和美国为例,使用大规模疫情模拟来研究如果新型流感疫情的初步控制失败后的干预选项。我们发现,边境限制和/或国内旅行限制不太可能将传播延迟超过2至3周,除非其有效性超过99%。在大流行高峰期关闭学校可将高峰发病率降低多达40%,但对总体发病率影响不大,而病例隔离或家庭隔离若可行则可能产生重大影响。对临床病例进行治疗可减少传播,但前提是在症状出现一天内给予抗病毒药物。若有足够药物供50%的人口使用,基于家庭的预防措施加上适时关闭学校可将临床发病率降低40%至50%。更广泛的预防措施在后勤方面将更具挑战性,但可能将发病率降低超过75%。在大流行之前储备的疫苗即使效力较低也可显著降低发病率。如果未来大流行毒株的特征与过去大流行中所见毒株有很大不同,政策有效性的估计将会改变。