Bolyai Institute, University of Szeged, H-6720 Szeged, Aradi vertanuk tere 1, Hungary.
Math Biosci Eng. 2011 Jan;8(1):123-39. doi: 10.3934/mbe.2011.8.123.
Finding optimal policies to reduce the morbidity and mortality of the ongoing pandemic is a top public health priority. Using a compartmental model with age structure and vaccination status, we examined the effect of age specific scheduling of vaccination during a pandemic influenza outbreak, when there is a race between the vaccination campaign and the dynamics of the pandemic. Our results agree with some recent studies on that age specificity is paramount to vaccination planning. However, little is known about the effectiveness of such control measures when they are applied during the outbreak. Comparing five possible strategies, we found that age specific scheduling can have a huge impact on the outcome of the epidemic. For the best scheme, the attack rates were up to 10% lower than for other strategies. We demonstrate the importance of early start of the vaccination campaign, since ten days delay may increase the attack rate by up to 6%. Taking into account the delay between developing immunity and vaccination is a key factor in evaluating the impact of vaccination campaigns. We provide a general framework which will be useful for the next pandemic waves as well.
寻找最优政策以降低当前大流行的发病率和死亡率是公共卫生的首要任务。我们使用具有年龄结构和疫苗接种状态的房室模型,研究了大流行流感爆发期间针对特定年龄组的疫苗接种计划安排的效果,此时疫苗接种运动和大流行的动态之间存在竞赛。我们的结果与最近一些关于年龄特异性对疫苗接种计划至关重要的研究结果一致。但是,当在大流行期间应用这些控制措施时,其有效性知之甚少。通过比较五种可能的策略,我们发现针对特定年龄的计划安排对疫情的结果有重大影响。对于最佳方案,发病率比其他策略低 10%。我们证明了尽早开始疫苗接种运动的重要性,因为延迟十天可能会使发病率增加多达 6%。考虑到产生免疫力和接种疫苗之间的延迟是评估疫苗接种运动影响的关键因素。我们提供了一个通用框架,这对于下一波大流行也将非常有用。