百日咳在英格兰和威尔士:调查传播动态和控制大规模疫苗接种。

B T Grenfell, R M Anderson
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引用次数: 74

摘要

通过对发病率和疫苗接种的纵向记录和年龄分层病例报告的横向数据的分析,研究了英格兰和威尔士百日咳的流行病学及其通过大规模疫苗接种控制的前景。建立了感染传播动力学的数学模型,其中包括自然和疫苗诱导的免疫力丧失以及可变的疫苗效力,并将其预测与观察到的趋势进行了比较。对病例报告的分析显示,个体感染力与年龄有关,传播高峰发生在5至10岁年龄组。结合这种年龄依赖性以及疫苗部分效力和疫苗诱导免疫力丧失的模型产生的预测模式最能反映自1957年在英格兰和威尔士开始大规模接种疫苗以来观察到的趋势。模型预测准确地反映了大规模疫苗接种未能使感染的流行间期(三年)比控制前增加。分析表明,这是由于部分疫苗效力的影响。预测的趋势并不能准确地反映在高疫苗接种率期间两次流行之间报告的低水平百日咳发病率。这被认为是由多种因素共同造成的,包括丧失自然和疫苗引起的免疫力、病例报告的偏差(报告效率与百日咳发病率呈正相关)以及传播的季节性变化。模型预测表明,在1岁之前,每个出生队列中88%的人接种疫苗将消除细菌传播,前提是疫苗能提供终身预防感染的保护。如果疫苗诱导的免疫力明显低于终生免疫(或者如果疫苗接种不能保护所有接种者),预计需要重复队列免疫以消除传播。讨论了未来的研究需要,重点是需要更精确的关于疫苗效力、自然免疫和疫苗诱导免疫持续时间以及临床百日咳和亚临床感染发生率的数据(可能通过开发可靠的血清学测试)。未来的数学模型将特别需要纳入传播的季节性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pertussis in England and Wales: an investigation of transmission dynamics and control by mass vaccination.

The epidemiology of pertussis and its prospects for control by mass vaccination in England and Wales are investigated by analyses of longitudinal records on incidence and vaccine uptake, and horizontal data on age-stratified case reports. Mathematical models of the transmission dynamics of the infection that incorporate loss of natural and vaccine-induced immunity plus variable vaccine efficacy are developed, and their predictions compared with observed trends. Analyses of case reports reveal that the individual force of infection is age dependent, with peak transmission in the 5- to 10-year-old age class. A model incorporating this age dependency, along with partial vaccine efficacy and loss of vaccine-induced immunity, generates predicted patterns that best mirror observed trends since mass vaccination was inaugurated in 1957 in England and Wales. Model projections accurately mirror the failure of mass vaccination to increase the inter-epidemic period of the infection (three years) over that pertaining before control. The analysis suggests that this is due to the impact of partial vaccine efficacy. Projected trends do not accurately reflect the low levels of pertussis incidence reported between epidemics in the periods of high vaccine uptake. This is thought to arise from a combination of factors, including loss of natural and vaccine induced immunity, biases in case reporting (where reporting efficiency is positively associated with the incidence of pertussis), and seasonal variations in transmission. Model predictions suggest that the vaccination of 88% of each birth cohort before the age of 1 year will eliminate bacterial transmission, provided the vaccine confers lifelong protection against infection. If vaccine-induced immunity is significantly less than lifelong (or if vaccination fails to protect all its recipients) repeated cohort immunization is predicted to be necessary to eliminate transmission. Future research needs are discussed, and emphasis is placed on the need for more refined data on vaccine efficacy, the duration of natural and vaccine-induced immunity and the incidence of clinical pertussis and subclinical infections (perhaps by the development of reliable serological tests). Future mathematical models will need especially to incorporate seasonality in transmission.

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Proceedings of the Royal Society of London Series B-Containing Papers of Abiological Character
Proceedings of the Royal Society of London Series B-Containing Papers of Abiological Character 生命科学, 发育生物学与生殖生物学, 发育生物学
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