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Modelling social clustering of susceptibles and its impact on measles elimination

易感者的社会集群建模及其对消除麻疹的影响

基本信息

批准号：
1923699
负责人：
金额：
--
依托单位：
London School of Hygiene & Tropical Medicine
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1923699
关键词：
Modelling social clustering susceptibles its

项目摘要

BackgroundDespite the very widespread use of measles vaccination, few countries have been able to achieve elimination of the measles virus, which refers to the interruption of endemic transmission in a defined geographical area. Vaccine efficacy is high (two doses is roughly 97% effective at preventing measles; one dose is about 90% effective) and the burden of measles has been substantially reduced after its introduction. Nevertheless, frequent outbreaks continue to affect populations around the world.The United Kingdom is a representative example of the difficulties experienced by developed countries to control measles. In the last ten years, surveillance systems observed hundreds of annual cases in England and Wales. After the interruption of endemic transmission for the last 36 months, the United Kingdom achieved elimination of measles in 2017. Nonetheless, increasing mistrust in vaccine is observed in the community, which may lead to endemic transmission in the years to come. A better understanding of recent outbreaks and the current state of surveillance is required to propose new methods to maintain elimination. The objectives of such work should therefore be:i/ Describe and understand recent outbreaks, in order to ii/ evaluate the weaknesses of the current vaccination routine and iii/ propose guidelines which will maintain elimination and, ultimately, make eradication of the disease an achievable objective. This project will assess what are the weaknesses of the vaccination routine, the profiles of the individuals this routine are unable to reach, and the current high-risk modes of transmission.Aims and MethodsA particular challenge for control of measles at high levels of vaccination is clustering of susceptibles, whereby those lacking immunity are preferentially in social contact with each other, either because they share a set of values or beliefs, or because they are part of the same community underserved by public health. We can identify three different approaches to analysing a patient-level dataset made available through contacts at Public Health England (PHE): i/ The description of the previous outbreaks, ii/ An investigation of the importance of social networks and clustering of susceptibles iii/ The modifications of the spread of the virus due to social behaviour changes. To perform this analysis, we will apply quantitative skills in mathematics, statistics and computation to the patient-level dataset. This work aims to reconstruct a probabilistic transmission network to gain insights of the spread of the virus at an individual level. Genetic sequence data routinely collected by PHE will be used to enhance the accuracy of the probabilistic transmission trees, and to point out the proximity between two cases (same index case, direct transmission between them...). We will use cutting-edge phylogenetic tools to generate a probabilistic transmission tree and track common features to describe the individuals able to catalyse the spread of the virus. Finally, using data on social mixing patterns, demography and social behaviour changes, we aim to quantify processes that lead to modifications in the dynamics of transmission of childhood diseases in the community. This will lead to a health economics analysis of vaccination campaigns' impact, to determine the cost-effectiveness of different interventions.Potential benefitsAll of these analyses will provide important insights into the recent spread of measles in the United Kingdom and the potential future risks of spreading of the virus in the country. We expect the proposed studies to lead to suggestions for improved vaccination strategies towards elimination and mitigation of outbreak risk. On a broader scale, as the United Kingdom is a good example of the complications Western European countries are facing to fully eradicate measles virus, this study will also give insight on how control measures should be used to reduce the risk of

背景尽管麻疹疫苗的使用非常广泛，但很少有国家能够实现消除麻疹病毒，这是指在特定地理区域内阻断地方性传播。疫苗效力很高（两剂疫苗预防麻疹的有效性约为97%;一剂疫苗的有效性约为90%），麻疹的负担在引入后已大大减少。尽管如此，麻疹的频繁爆发继续影响着世界各地的人口，英国是发达国家在控制麻疹方面遇到困难的代表性例子。在过去的十年里，监测系统在英格兰和威尔士观察到了数百例年度病例。在过去36个月的地方性传播中断后，英国于2017年实现了麻疹的消除。尽管如此，在社区中观察到对疫苗的不信任日益增加，这可能导致未来几年的地方性传播。需要更好地了解最近的疫情和目前的监测状况，以提出维持消除的新方法。因此，这项工作的目标应该是：i/描述和了解最近的疫情，以便ii/评估目前常规疫苗接种的弱点，iii/提出将保持消除并最终使根除疾病成为可实现目标的指导方针。本项目将评估常规疫苗接种的弱点是什么，常规疫苗接种无法覆盖的个体的概况，以及当前的高风险传播模式。目的和方法在高水平疫苗接种下控制麻疹的一个特别挑战是易感人群的聚集，即那些缺乏免疫力的人优先彼此进行社会接触，因为他们共享一套价值观或信仰，或者是因为他们是公共卫生服务不足的社区的一部分。我们可以确定三种不同的方法来分析通过英国公共卫生部（PHE）的联系人提供的患者级数据集：i/以前爆发的描述，ii/对社交网络的重要性和易感人群聚集的调查iii/由于社会行为变化而对病毒传播的修改。为了进行这种分析，我们将把数学、统计学和计算方面的定量技能应用于患者水平的数据集。这项工作的目的是重建一个概率传播网络，以获得在个人层面上的病毒传播的见解。PHE常规收集的基因序列数据将用于提高概率传播树的准确性，并指出两个病例之间的接近性（相同的索引病例，它们之间的直接传播.）。我们将使用尖端的系统发育工具来生成概率传播树，并跟踪共同特征，以描述能够催化病毒传播的个体。最后，利用社会混合模式，人口和社会行为变化的数据，我们的目标是量化的过程，导致在社区中的儿童疾病的传播动态的修改。这将导致对疫苗接种运动的影响进行卫生经济学分析，以确定不同干预措施的成本效益。潜在的好处所有这些分析将为英国最近麻疹的传播和该病毒在该国传播的潜在未来风险提供重要的见解。我们期望拟议的研究能够为改进疫苗接种策略提出建议，以消除和减轻爆发风险。在更广泛的范围内，由于英国是西欧国家完全根除麻疹病毒所面临的并发症的一个很好的例子，这项研究还将深入了解应如何使用控制措施来减少麻疹的风险。