Quantifying annual internal effective 137Cesium dose utilizing direct body-burden measurement and ecological dose modeling
| Autor: | Wilfried Karmaus, Erik R. Svendsen, Stepanova Ei, Benjamin A. Jelin, Alex Lichosherstov, Maryna V. Naboka, Vitaliy Vdovenko, Wenjie Sun, Kravets Ap |
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| Rok vydání: | 2015 |
| Předmět: |
0301 basic medicine
education.field_of_study Epidemiology Ecology 030111 toxicology Population Public Health Environmental and Occupational Health Toxicology Soil concentration Pollution Effective dose (radiation) 03 medical and health sciences 0302 clinical medicine Internal dose 030220 oncology & carcinogenesis Cohort Geometric mean education Dose conversion Mathematics Cohort study |
| Zdroj: | Journal of Exposure Science & Environmental Epidemiology. 26:546-553 |
| ISSN: | 1559-064X 1559-0631 |
| Popis: | The Chernobyl Nuclear Power Plant (CNPP) accident represents one of the most significant civilian releases of 137Cesium (137Cs, radiocesium) in human history. In the Chernobyl-affected region, radiocesium is considered to be the greatest on-going environmental hazard to human health by radiobiologists and public health scientists. The goal of this study was to characterize dosimetric patterns and predictive factors for whole-body count (WBC)-derived radiocesium internal dose estimations in a CNPP-affected children's cohort, and cross-validate these estimations with a soil-based ecological dose estimation model. WBC data were used to estimate the internal effective dose using the International Commission on Radiological Protection (ICRP) 67 dose conversion coefficient for 137Cs and MONDAL Version 3.01 software. Geometric mean dose estimates from each model were compared utilizing paired t-tests and intra-class correlation coefficients. Additionally, we developed predictive models for WBC-derived dose estimation in order to determine the appropriateness of EMARC to estimate dose for this population. The two WBC-derived dose predictive models identified 137Cs soil concentration (P |
| Databáze: | OpenAIRE |
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