Household PM2.5 in a South African urban and rural setting: A comparative analysis using low-cost sensors

Abstract

Household air pollution (HAP) is responsible for millions of premature deaths each year. Exposure to household air pollutants as a risk factor for poor health has not been adequately quantified in many parts of the world, especially Sub-Saharan Africa. We aimed to assess HAP, specifically PM_2.5, and its associations with dwelling and household characteristics in urban (Soweto) and rural (Agincourt) settings in South Africa. We monitored indoor PM_2.5 concentrations in 40 unique households using low-cost sensors, across two study sites and seasons. Low-cost sensors were calibrated by collocation, and associations between dwelling and household characteristics with indoor PM_2.5 concentrations were assessed using a log-linear regression model. PM_2.5 concentrations were greater in urban households in the summer (50 μg/m³ (95% CI: 41–63) and in the winter (82 μg/m³ (95% CI: 62–109)) compared to rural households (summer: 19 μg/m³ (95%: CI 14–26) and winter: 48 μg/m³ (95% CI: 44–53)). The log-linear model (n = 39) explained 74% of the variance in leave-one-out cross validation. Significant associations with household PM_2.5 were observed with the following: the season, study setting, presence of tobacco smoking, presence of incense burning inside the dwelling, and the use of heating. This study found significant variations in HAP concentrations within and across the urban and rural communities, likely influenced by differences in ambient outdoor concentrations and individual behaviours such as incense burning. It is crucial to enhance community and policy maker awareness regarding the dangers of indoor smoking and the harmful effects of burning incense indoors.