![]() ![]() ![]() A modelling framework for the rapid quantification of daily home exposure is then outlined as a proof of concept. Using a sample size calculation, obstacles in obtaining sufficiently large samples of monitored data are demonstrated. Based on the review, the study proposes a modelling methodology for evaluating the effects of environmental policies on different socio-economic populations. The literature was reviewed, identifying different indoor pollutants, definitions for socio-economic status and pre- and post- housing interventions. 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. 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. ![]() 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. However, in developed countries, around 80% of time is spent indoors, meaning indoor air pollution may be a better proxy for personal exposure. 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. ![]()
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