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10.3390/ijerph121013587 http://scihub22266oqcxt.onion/10.3390/ijerph121013587 C4627050!4627050!26516882     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2015 ; 12 (10): 13587-601 Nephropedia Template TP {{tp|p=26516882|t=2015. Spatial Associations Between Contaminated Land and Socio Demographics in Ghana |pdf=|usr=}}{{26516882}} gab.com Text Spatial Associations Between Contaminated Land and Socio Demographics in Ghana JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=26516882 #FOAvip 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 (? 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. Twit Text FOAVip Spatial Associations Between Contaminated Land and Socio Demographics in Ghana ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=26516882 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26516882 #FOAvip English Wikipedia <ref>{{Cite pmid|26516882}}</ref> Spatial Associations Between Contaminated Land and Socio Demographics in Ghana #MMPMID26516882 Dowling R; Ericson B; Caravanos J; Grigsby P; Amoyaw-Osei Y Int J Environ Res Public Health 2015[Oct]; 12 (10): 13587-601 PMID26516882show ga 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 (? 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. äSpatial Associations Between Contaminated Land and Socio Demographics (epmc).pdf DeepDyve Pubget Overpricing