The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom.
Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom.
PLoS Comput Biol. 2020 Oct 6;16(10):e1008278. doi: 10.1371/journal.pcbi.1008278. eCollection 2020 Oct.
For infectious disease prevention, policy-makers are typically required to base policy decisions in light of operational and monetary restrictions, prohibiting implementation of all candidate interventions. To inform the evidence-base underpinning policy decision making, mathematical and health economic modelling can be a valuable constituent. Applied to England, this study aims to identify the optimal target age groups when extending a seasonal influenza vaccination programme of at-risk individuals to those individuals at low risk of developing complications following infection. To perform this analysis, we utilise an age- and strain-structured transmission model that includes immunity propagation mechanisms which link prior season epidemiological outcomes to immunity at the beginning of the following season. Making use of surveillance data from the past decade in conjunction with our dynamic model, we simulate transmission dynamics of seasonal influenza in England from 2012 to 2018. We infer that modified susceptibility due to natural infection in the previous influenza season is the only immunity propagation mechanism to deliver a non-negligible impact on the transmission dynamics. Further, we discerned case ascertainment to be higher for young infants compared to adults under 65 years old, and uncovered a decrease in case ascertainment as age increased from 65 to 85 years of age. Our health economic appraisal sweeps vaccination age space to determine threshold vaccine dose prices achieving cost-effectiveness under differing paired strategies. In particular, we model offering vaccination to all those low-risk individuals younger than a given age (but no younger than two years old) and all low-risk individuals older than a given age, while maintaining vaccination of at-risk individuals of any age. All posited strategies were deemed cost-effective. In general, the addition of low-risk vaccination programmes whose coverage encompassed children and young adults (aged 20 and below) were highly cost-effective. The inclusion of elder age-groups to the low-risk programme typically lessened the cost-effectiveness. Notably, elderly-centric programmes vaccinating from 65-75 years and above had the least permitted expense per vaccine.
对于传染病预防,政策制定者通常需要根据运营和货币限制做出决策,禁止实施所有候选干预措施。为了为政策决策提供依据,数学和健康经济建模可以成为有价值的组成部分。应用于英格兰,本研究旨在确定在为高危人群接种季节性流感疫苗的基础上,进一步将疫苗接种范围扩大至低风险感染并发症人群时的最佳目标年龄组。为了进行这项分析,我们使用了一种年龄和菌株结构的传播模型,其中包括将前一个季节的流行病学结果与下一个季节初的免疫联系起来的免疫传播机制。利用过去十年的监测数据和我们的动态模型,我们模拟了英格兰 2012 年至 2018 年季节性流感的传播动态。我们推断,前一个流感季节自然感染引起的修正易感性是对传播动态产生显著影响的唯一免疫传播机制。此外,我们发现与 65 岁以下成年人相比,年轻婴儿的病例检出率更高,并且随着年龄从 65 岁增加到 85 岁,病例检出率下降。我们的健康经济评估涵盖了接种年龄范围,以确定在不同配对策略下实现成本效益的阈值疫苗剂量价格。特别是,我们对所有年龄低于某个年龄(但不低于两岁)的低风险人群以及所有年龄高于某个年龄的低风险人群进行疫苗接种建模,同时维持任何年龄的高危人群的疫苗接种。所有提出的策略都被认为是具有成本效益的。一般来说,具有成本效益的低风险疫苗接种计划的增加,其覆盖范围包括儿童和年轻人(20 岁及以下)。将老年人群纳入低风险计划通常会降低成本效益。值得注意的是,以老年人为中心的计划,从 65-75 岁及以上开始接种疫苗,其每支疫苗的费用最低。