Global estimation of exposure to fine particulate matter (PM_2.5) from household air pollution

Shupler, Matthew ORCID: 0000-0003-0259-9101, Godwin, William, Frostad, Joseph, Gustafson, Paul, Arku, Raphael E and Brauer, Michael (2018) Global estimation of exposure to fine particulate matter (PM_2.5) from household air pollution. ENVIRONMENT INTERNATIONAL, 120. pp. 354-363.

Text Shupler et al. - 2018 - Global estimation of exposure to fine particulate .pdf - Published Version Download (1MB) | Preview

Abstract

<h4>Background</h4>Exposure to household air pollution (HAP) from cooking with dirty fuels is a leading health risk factor within Asia, Africa and Central/South America. The concentration of particulate matter of diameter ≤ 2.5 μm (PM_2.5) is an important metric to evaluate HAP risk, however epidemiological studies have demonstrated significant variation in HAP-PM_2.5 concentrations at household, community and country levels. To quantify the global risk due to HAP exposure, novel estimation methods are needed, as financial and resource constraints render it difficult to monitor exposures in all relevant areas.<h4>Methods</h4>A Bayesian, hierarchical HAP-PM_2.5 global exposure model was developed using kitchen and female HAP-PM_2.5 exposure data available in peer-reviewed studies from an updated World Health Organization Global HAP database. Cooking environment characteristics were selected using leave-one-out cross validation to predict quantitative HAP-PM_2.5 measurements from 44 studies. Twenty-four hour HAP-PM_2.5 kitchen concentrations and male, female and child exposures were estimated for 106 countries in Asia, Africa and Latin America.<h4>Results</h4>A model incorporating fuel/stove type (traditional wood, improved biomass, coal, dung and gas/electric), urban/rural location, wet/dry season and socio-demographic index resulted in a Bayesian R² of 0.57. Relative to rural kitchens using gas or electricity, the mean global 24-hour HAP-PM_2.5 concentrations were 290 μg/m³ higher (range of regional averages: 110, 880) for traditional stoves, 150 μg/m³ higher (range of regional averages: 50, 290) for improved biomass stoves, 850 μg/m³ higher (range of regional averages: 310, 2600) for animal dung stoves, and 220 μg/m³ higher (range of regional averages: 80, 650) for coal stoves. The modeled global average female/kitchen exposure ratio was 0.40. Average modeled female exposures from cooking with traditional wood stoves were 160 μg/m³ in rural households and 170 μg/m³ in urban households. Average male and child rural area exposures from traditional wood stoves were 120 μg/m³ and 140 μg/m³, respectively; average urban area exposures were identical to average rural exposures among both sub-groups.<h4>Conclusions</h4>A Bayesian modeling approach was used to generate unique HAP-PM_2.5 kitchen concentrations and personal exposure estimates for all countries, including those with little to no available quantitative HAP-PM_2.5 exposure data. The global exposure model incorporating type of fuel-stove combinations can add specificity and reduce exposure misclassification to enable an improved global HAP risk assessment.

Item Type:	Article
Uncontrolled Keywords:	Bayesian hierarchical modeling, Exposure assessment, Household air pollution, PM2.5, Global Burden of Disease, WHO Global HAP database
Depositing User:	Symplectic Admin
Date Deposited:	17 Jul 2020 10:16
Last Modified:	07 Feb 2024 08:35
DOI:	10.1016/j.envint.2018.08.026
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3094240