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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5700

Title: Vulnerability of a low-income community in South Africa to air pollution: Exploring the use of structural equations modelling to identify appropriate interventions
Authors: John, J
Das, S
Keywords: Vulnerability
Health
Low-income communities
Structural equations modelling
Interventions
Issue Date: Mar-2012
Publisher: Taylor & Francis
Citation: John, J and Das, S. 2012. Vulnerability of a low-income community in South Africa to air pollution: Exploring the use of structural equations modelling to identify appropriate interventions.Journal of Integrative Environmental Sciences, DOI:10.1080/1943815X.2012.662512
Series/Report no.: Workflow;8190
Abstract: In this study, the relationship between certain household traits and specific environmental health outcome variables was explored in a low-income community from a peri-urban settlement in eMbalenhle, South Africa, with the aim of locating focus areas for targeting appropriate intervention. The susceptibility of this community to environmental pollution-related health outcomes may also be influenced by household-characterizing factors such as nutritional status, hygiene behaviours and other diseases that affect their immune system. Structural equations modelling was used to capture the possible web of relationships between the household traits and a combined respiratory health outcome variable. Specifically, the two traits considered at household level were socioeconomic status and household environment, both of which were latent. Results revealed that primary interventions to improve respiratory health should include converting non-flush toilets to flush toilets, increasing the number of toilets, ensuring regular waste collection, increasing access to medical care and increasing the household income.
Description: Copyright: 2012 Taylor & Francis. This is an ABSTRACT ONLY.
URI: http://dx.doi.org/10.1080/1943815X.2012.662512
http://hdl.handle.net/10204/5700
ISSN: 1943-815X
1943-8168
Appears in Collections:Pollution and waste
Environmental management
Water resources and human health
Human factors
Logistics and quantitative methods
General science, engineering & technology

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