论文标题
确定Cox Bazar难民定居点的接触矩阵的混合方法方法
A Mixed-Method Approach to Determining Contact Matrices in the Cox's Bazar Refugee Settlement
论文作者
论文摘要
接触矩阵是年龄结构化流行模型中的重要成分,可以告知人口亚组之间疾病的模拟传播。这些矩阵通常是使用基于资源密集的日记的调查得出的,并且在全球南部或针对脆弱人群量身定制。特别是,难民定居点不存在接触矩阵 - 一般而言流行模型的位置不足。在本文中,我们提出了一种新颖的混合方法方法,用于在人群中得出接触矩阵,该方法将轻巧,可快速部署的调查与以人口普查和行为数据告知的基于代理的人群模型相结合。我们使用此方法来得出孟加拉国Cox的Bazar难民定居点的第一组接触矩阵。难民定居点的矩阵显示出强大的束缚效应,这是由于某些场所的出勤率(例如分配中心和宗教场所)以及模型中编码的定居点人口统计学概况的重要贡献。这些可能与建模的疾病动态具有重要意义。为了验证我们的方法,我们还将我们的方法应用于英国的人群,并将我们的派生矩阵与以前使用传统方法收集的众所周知的接触矩阵进行了比较。总体而言,我们的发现表明,我们的混合方法方法可以解决传统和先前提出的基于代理的传统接触矩阵的挑战,并且有可能在其他资源受限的环境中推出。因此,这项工作有助于开发新的方法和数据收集机制,以模拟难民和IDP定居点疾病传播,并更好地为这些脆弱的社区提供服务。
Contact matrices are an important ingredient in age-structured epidemic models to inform the simulated spread of the disease between sub-groups of the population. These matrices are generally derived using resource-intensive diary-based surveys and few exist in the Global South or tailored to vulnerable populations. In particular, no contact matrices exist for refugee settlements - locations under-served by epidemic models in general. In this paper we present a novel, mixed-method approach, for deriving contact matrices in populations which combines a lightweight, rapidly deployable, survey with an agent-based model of the population informed by census and behavioural data. We use this method to derive the first set of contact matrices for the Cox's Bazar refugee settlement in Bangladesh. The matrices from the refugee settlement show strong banding effects due to different age cut-offs in attendance at certain venues, such as distribution centres and religious sites, as well as the important contribution of the demographic profile of the settlement which was encoded in the model. These can have significant implications to the modelled disease dynamics. To validate our approach, we also apply our method to the population of the UK and compare our derived matrices against well-known contact matrices previously collected using traditional approaches. Overall, our findings demonstrate that our mixed-method approach can address some of the challenges of both the traditional and previously proposed agent-based approaches to deriving contact matrices, and has the potential to be rolled-out in other resource-constrained environments. This work therefore contributes to a broader aim of developing new methods and mechanisms of data collection for modelling disease spread in refugee and IDP settlements and better serving these vulnerable communities.