Disparities in outdoor air pollution exposure between individuals of differing socio-economic status is a growing area of research, widely explored in the environmental health literature. However, in developed countries, around 80% of time is spent indoors, meaning indoor air pollution may be a better proxy for personal exposure. Building characteristics - such as build quality, volume and ventilation - and occupant behaviour, mean indoor air pollution may also vary across socio-economic groups, leading to health inequalities. Much of the existing literature has focused on inequalities in exposure to outdoor air pollution, and there is thus a lack of an evidence base reviewing data for indoor environments. In this study, a scoping review of the literature on indoor air pollution exposures across different socio-economic groups is performed, examining evidence from both monitoring and modelling studies in the developed world. The literature was reviewed, identifying different indoor pollutants, definitions for socio-economic status and pre- and post- housing interventions. Based on the review, the study proposes a modelling methodology for evaluating the effects of environmental policies on different socio-economic populations. Using a sample size calculation, obstacles in obtaining sufficiently large samples of monitored data are demonstrated. A modelling framework for the rapid quantification of daily home exposure is then outlined as a proof of concept. While significant additional research is required to examine inequalities in indoor exposures, modelling approaches may provide opportunities to quantify exposure disparities due to housing and behaviours across populations of different socio-economic status.

社会经济地位不同的个人之间在室外空气污染暴露方面的差异是一个不断发展的研究领域，在环境卫生文献中已得到广泛探讨。但是，在发达国家，大约80％的时间都花在室内，这意味着室内空气污染可能是个人暴露的更好代表。建筑物的特性-例如建筑物的质量，容积和通风-以及乘员的行为，意味着室内空气污染在各个社会经济群体之间也可能有所不同，从而导致健康不平等。现有的许多文献都集中在暴露于室外空气污染的不平等问题上，因此缺乏审查室内数据的证据基础环境。在这项研究中，对不同社会经济群体的室内空气污染暴露的文献进行了范围界定性审查，研究了来自发达国家的监测和建模研究的证据。对文献进行了审查，确定了不同的室内污染物，社会经济状况的定义以及住房前后的干预措施。在此基础上，本研究提出了一种评估环境政策对不同社会经济人口影响的建模方法。使用样本量计算，证明了获得足够大的监视数据样本的障碍。然后概述了用于快速量化日常家庭暴露的建模框架，作为概念证明。