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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5773

Title: Meteorologically estimated exposure but not distance predicts asthma symptoms in schoolchildren in the environs of a petrochemical refinery: a cross-sectional study
Authors: White, N
teWaterNaude, J
Van der Walt, A
Ravenscroft, G
Roberts, W
Ehrlich, R
Keywords: Asthma
Asthma symptoms
Refinery emissions
Environmental health
Air pollution
Cape Town petrochemical refinery
Petrochemical refinery
Children's health
Issue Date: Sep-2009
Publisher: BioMed Central
Citation: White, N, teWaterNaude, J, Van der Walt, A, Ravenscroft, G, Roberts, W and Ehrlich, R. 2009. Meteorologically estimated exposure but not distance predicts asthma symptoms in schoolchildren in the environs of a petrochemical refinery: a cross-sectional study. Environmental Health, 8:45 doi:10.1186/1476-069X-8-45
Series/Report no.: Workflow;8475
Abstract: Community concern about asthma prompted an epidemiological study of children living near a petrochemical refinery in Cape Town, South Africa. Because of resource constraints and the complexity of refinery emissions, neither direct environmental measurements nor modelling of airborne pollutants was possible. Instead a meteorologically derived exposure metric was calculated with the refinery as the putative point source. The study aimed to determine whether (1) asthma symptom prevalences were elevated compared to comparable areas in Cape Town and (2) whether there was an association between asthma symptom prevalences and the derived exposure metric.
Description: Copyright: 2009 White et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://www.ehjournal.net/content/pdf/1476-069X-8-45.pdf
http://hdl.handle.net/10204/5773
ISSN: 1476-069X
Appears in Collections:Metrology
Pollution and waste
Environmental management
Human factors
General science, engineering & technology

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