IEUBK Model to Calculate the Lead Concentration in Blood Children of the Environment which Effect by Lead Emission: Empirical Comparisons with Epidemiologic Data: Developing a Human Health Risk Model to Quantify the Risk Posed by Soil Pb

2018 ◽  
Vol 1 (I) ◽  
pp. 52-59
Author(s):  
Ahmed Kadhim Al-Lami ◽  
◽  
Maitham A. Sultan ◽  
Ali A. Al Maliki ◽  
Afrah A. Ajeel ◽  
...  
2014 ◽  
Vol 122 (11) ◽  
pp. 1160-1165 ◽  
Author(s):  
Carol J. Burns ◽  
J. Michael Wright ◽  
Jennifer B. Pierson ◽  
Thomas F. Bateson ◽  
Igor Burstyn ◽  
...  

2021 ◽  
Vol 32 (2) ◽  
pp. 40
Author(s):  
Afrah A. Ajeel ◽  
Ahmed K. Al-Lami ◽  
Ali A. Al-Maliki

Lead-contaminated water, soil, and air have been perceived as potential sources of lead exposure for a considerable length of time, which continues to threaten human health; particularly that of young children. An Integrated Exposure, Uptake, and Biokinetic (IEUBK) as a human health risk model were applied to predict the Blood lead levels (BLLs) in children. A variety of data for air, soil, and water were obtained from the industrial region in Al-Dorah city in Baghdad for the period 2012- 2014. The result found that the predicted BLLs value of 11.17 μg/dL obtained from the IEUBK model was exceeding the agency’s threshold of concern of 10 μg/jdL which was considered as the lowest level of concern for BLL in children, this result of the IEUBK model was in agreement with the actual value of BLLs which were taken from previous literature for 24 blood samples of school children matched for age curried out in the same Al-Dorah region. This technique propels logical comprehension of the connection between BLLs in children and environmental media in both air and soil for the pollute condition. It can control national health-based benchmarks for lead and related community public health decisions.


2018 ◽  
Vol 12 ◽  
pp. 117863021881279
Author(s):  
Richard Olawoyin

This commentary presents a summarized discussion of key findings and relevant ideas from previously published study, index analysis, and human health risk model application for evaluating ambient air-heavy metal contamination in Chemical Valley Sarnia (CVS). The CVS study provides previously unavailable data in the CVS area which evaluates the adverse effects on air quality due to nearby anthropogenic activities. The study provided an assessment of environmental pollutants, finding that carcinogenic and non-carcinogenic substances are present in trace quantities. The main findings of the study suggest that chronic exposure of humans to several contaminants identified in the area studied may lead to carcinogenic health effects, including cancer (such as nephroblastomatosis) as well as non-carcinogenic health effects, such as damage to the tracheobronchial tree. Children were found to have a significantly higher risk, that is, a higher hazard index: a value used to measure non-carcinogenic health risk from heavy metals identified in air samples collected during the research period from 2014 to 2017. This study quantified the influence of environmental contaminants, relative to human exposures and the consequence of developing nephroblastomatosis in the human population.


2021 ◽  
Vol 13 (16) ◽  
pp. 9230
Author(s):  
Carlos Iván Espinosa ◽  
Fabián Reyes-Bueno ◽  
María Isabel Ramírez ◽  
Ana Paulina Arévalo ◽  
Natalia Bailon-Moscoso ◽  
...  

Background: contamination of aquatic ecosystems by oil spills associated with petroleum exploitation represents a serious problem of environmental contamination that can affect human health. We developed a spatial model of contamination risk in the Ecuadorian Amazon, and evaluated the model using independent datasets on environmental contamination and clinical indicators of human health risk factors. Methods: the spatial risk of contamination for the Napo River basin was based on the calculation of a friction surface and the accessibility of possible oil contamination. Human health was evaluated using peripheral blood samples from 256 individuals. We used monitoring data on contamination to validate the spatial model of contamination risk and analyzed whether the estimated risk explained the incidence of human health risk factors. Results: our risk model showed a significant association with actual contamination detected in the study area. According to our risk model, around 30% of the territory has some level of contamination. Risk of contamination was associated with an increasing mean incidence in risk factors for human health in resident populations, but elevated contamination risk was not a significant predictor of the incidence of selected health indicators; only the incidence of inflammation was significantly increased. Conclusions: a large proportion of the populations in the Napo River basin has high vulnerability to contamination from petroleum exploitation, and this contamination risk may be traced in some indicators of health risk. Closer examination of health risk factors is warranted, and our spatial model of contamination risk can inform the design and analysis of such studies, as well as risk mitigation and management. Our approach to building the model of contamination risk could be applied in other catchments where petroleum exploitation is contemplated.


2006 ◽  
Vol 14 (2) ◽  
pp. 559-570 ◽  
Author(s):  
F. Quercia ◽  
A. Vecchio ◽  
M. Falconi ◽  
L. Togni ◽  
E. Wcislo ◽  
...  

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