Spatial Associations Between Contaminated Land and Socio Demographics in Ghana
Bibliographic Data
| ID | 15515844 |
|---|---|
| Authors | Russell Dowling (0000-0001-7509-760X, Pure Earth, corresponding author), Bret Ericson (0000-0002-2674-4628, Pure Earth), Jack Caravanos (0000-0003-3515-896X, City University of New York), Patrick Grigsby (0000-0003-3652-5274, Pure Earth), Yaw Amoyaw-Osei (Green Advocacy Ghana, P.O. Box SK 482, Sakumono Estates, Tema, Ghana) |
| Year | 2015 |
| Volume | 12 |
| Issue | 10 |
| Pages | 13587-13601 |
| Publication date | 2015-10-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph121013587 |
| PMID | 26516882 |
| OpenAlex | W1828326638 |
| Language | EN |
| Citations received | 3 |
| References cited | 11 |
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
Census · Context (archaeology · Demographics · Developing country · Economic growth · Economics · Environmental health · Geography · Literacy · Population · Socioeconomics · Sociology · Unemployment · Air Quality and Health Impacts · Demography · Energy and Environment Impacts · Environmental Justice and Health Disparities · Medicine
| Citations per year | 0.38 |
|---|---|
| Citation span | 2018 - 2022 (5) |
| Highly cited | No |