Bayesian modelling of household solid fuel use: insights towards designing effective interventions to promote fuel switching in Africa

Environmental Research
Eva A RehfuessNicky Best

Abstract

Indoor air pollution from solid fuel use is a significant risk factor for acute lower respiratory infections among children in sub-Saharan Africa. Interventions that promote a switch to modern fuels hold a large health promise, but their effective design and implementation require an understanding of the web of upstream and proximal determinants of household fuel use. Using Demographic and Health Survey data for Benin, Kenya and Ethiopia together with Bayesian hierarchical and spatial modelling, this paper quantifies the impact of household-level factors on cooking fuel choice, assesses variation between communities and districts and discusses the likely nature of contextual effects. Household- and area-level characteristics appear to interact as determinants of cooking fuel choice. In all three countries, wealth and the educational attainment of women and men emerge as important; the nature of area-level factors varies between countries. In Benin, a two-level model with spatial community random effects best explains the data, pointing to an environmental explanation. In Ethiopia and Kenya, a three-level model with unstructured community and district random effects is selected, implying relatively autonomous economic and social...Continue Reading

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Citations

Feb 3, 2012·Environmental Health Perspectives·Jessica J Lewis, Subhrendu K Pattanayak
Feb 19, 2014·Energy Policy·Pamela Jagger, Gerald Shively
Apr 4, 2015·Journal of Health Communication·Jessica J LewisSubhrendu K Pattanayak

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