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Spatial Associations Between Contaminated Land and Socio Demographics in Ghana

Associations between contaminated land and socio demographics are well documented in high-income countries. In low- and middle-income countries, however, little is known about the extent of contaminated land and possible demographic correlations. This is an important yet sparsely researched topic wi...

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Autores principales: Dowling, Russell, Ericson, Bret, Caravanos, Jack, Grigsby, Patrick, Amoyaw-Osei, Yaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627050/
https://www.ncbi.nlm.nih.gov/pubmed/26516882
http://dx.doi.org/10.3390/ijerph121013587
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author Dowling, Russell
Ericson, Bret
Caravanos, Jack
Grigsby, Patrick
Amoyaw-Osei, Yaw
author_facet Dowling, Russell
Ericson, Bret
Caravanos, Jack
Grigsby, Patrick
Amoyaw-Osei, Yaw
author_sort Dowling, Russell
collection PubMed
description Associations between contaminated land and socio demographics are well documented in high-income countries. In low- and middle-income countries, however, little is known about the extent of contaminated land and possible demographic correlations. This is an important yet sparsely researched topic with potentially significant public health implications as exposure to pollution remains a leading source of morbidity and mortality in low-income countries. In this study, we review the associations between several socio demographic factors (population, population density, unemployment, education, and literacy) and contaminated sites in Ghana. Within this context, both correlation and association intend to show the relationship between two variables, namely contaminated sites and socio demographics. Aggregated district level 2010 census data from Ghana Statistical Service and contaminated site location data from Pure Earth’s Toxic Sites Identification Program (TSIP) were spatially evaluated using the number of sites per kilometer squared within districts as the unit of measurement. We found a low to medium positive correlation (ρ range: 0.285 to 0.478) between contaminated sites and the following socio demographics: higher population density, higher unemployment, greater education, and higher literacy rate. These results support previous studies and suggest that several socio demographic factors may be reasonably accurate predictors of contaminated site locations. More research and targeted data collection is needed to better understand these associations with the ultimate goal of developing a predictive model.
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spelling pubmed-46270502015-11-12 Spatial Associations Between Contaminated Land and Socio Demographics in Ghana Dowling, Russell Ericson, Bret Caravanos, Jack Grigsby, Patrick Amoyaw-Osei, Yaw Int J Environ Res Public Health Article Associations between contaminated land and socio demographics are well documented in high-income countries. In low- and middle-income countries, however, little is known about the extent of contaminated land and possible demographic correlations. This is an important yet sparsely researched topic with potentially significant public health implications as exposure to pollution remains a leading source of morbidity and mortality in low-income countries. In this study, we review the associations between several socio demographic factors (population, population density, unemployment, education, and literacy) and contaminated sites in Ghana. Within this context, both correlation and association intend to show the relationship between two variables, namely contaminated sites and socio demographics. Aggregated district level 2010 census data from Ghana Statistical Service and contaminated site location data from Pure Earth’s Toxic Sites Identification Program (TSIP) were spatially evaluated using the number of sites per kilometer squared within districts as the unit of measurement. We found a low to medium positive correlation (ρ range: 0.285 to 0.478) between contaminated sites and the following socio demographics: higher population density, higher unemployment, greater education, and higher literacy rate. These results support previous studies and suggest that several socio demographic factors may be reasonably accurate predictors of contaminated site locations. More research and targeted data collection is needed to better understand these associations with the ultimate goal of developing a predictive model. MDPI 2015-10-27 2015-10 /pmc/articles/PMC4627050/ /pubmed/26516882 http://dx.doi.org/10.3390/ijerph121013587 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dowling, Russell
Ericson, Bret
Caravanos, Jack
Grigsby, Patrick
Amoyaw-Osei, Yaw
Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title_full Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title_fullStr Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title_full_unstemmed Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title_short Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
title_sort spatial associations between contaminated land and socio demographics in ghana
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627050/
https://www.ncbi.nlm.nih.gov/pubmed/26516882
http://dx.doi.org/10.3390/ijerph121013587
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