Horn Johannes, Damm Oliver, Greiner Wolfgang, Hengel Hartmut, Kretzschmar Mirjam E, Siedler Anette, Ultsch Bernhard, Weidemann Felix, Wichmann Ole, Karch André, Mikolajczyk Rafael T
ESME - Epidemiological and Statistical Methods Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Institue of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
BMC Med. 2018 Jan 9;16(1):3. doi: 10.1186/s12916-017-0983-5.
Epidemiological studies suggest that reduced exposure to varicella might lead to an increased risk for herpes zoster (HZ). Reduction of exposure to varicella is a consequence of varicella vaccination but also of demographic changes. We analyzed how the combination of vaccination programs and demographic dynamics will affect the epidemiology of varicella and HZ in Germany over the next 50 years.
We used a deterministic dynamic compartmental model to assess the impact of different varicella and HZ vaccination strategies on varicella and HZ epidemiology in three demographic scenarios, namely the projected population for Germany, the projected population additionally accounting for increased immigration as observed in 2015/2016, and a stationary population.
Projected demographic changes alone result in an increase of annual HZ cases by 18.3% and a decrease of varicella cases by 45.7% between 1990 and 2060. Independently of the demographic scenario, varicella vaccination reduces the cumulative number of varicella cases until 2060 by approximately 70%, but also increases HZ cases by 10%. Unlike the currently licensed live attenuated HZ vaccine, the new subunit vaccine candidate might completely counteract this effect. Relative vaccine effects were consistent across all demographic scenarios.
Demographic dynamics will be a major determinant of HZ epidemiology in the next 50 years. While stationary population models are appropriate for assessing vaccination impact, models incorporating realistic population structures allow a direct comparison to surveillance data and can thus provide additional input for immunization decision-making and resource planning.
流行病学研究表明,水痘暴露减少可能导致带状疱疹(HZ)风险增加。水痘暴露减少是水痘疫苗接种的结果,也是人口结构变化的结果。我们分析了疫苗接种计划和人口动态变化相结合在未来50年内将如何影响德国水痘和HZ的流行病学。
我们使用确定性动态分区模型,在三种人口情景下评估不同水痘和HZ疫苗接种策略对水痘和HZ流行病学的影响,这三种情景分别是德国的预计人口、在2015/2016年观察到的额外考虑移民增加因素后的预计人口,以及静态人口。
仅预计的人口变化就导致1990年至2060年间每年HZ病例增加18.3%,水痘病例减少45.7%。与人口情景无关,水痘疫苗接种到2060年可使水痘病例累计数减少约70%,但也会使HZ病例增加10%。与目前已获许可的减毒活HZ疫苗不同,新的亚单位候选疫苗可能完全抵消这种影响。所有人口情景下的相对疫苗效果均一致。
人口动态变化将是未来50年HZ流行病学的主要决定因素。虽然静态人口模型适用于评估疫苗接种影响,但纳入实际人口结构的模型能够直接与监测数据进行比较,从而可为免疫决策和资源规划提供更多依据。