| Wu Lina,Pan Yan,Ruan Jianlei,Gao Gang,Piao Chunnan,Liu Jianxiang.Analysis of results of national biological dose estimation[J].Chinese Journal of Radiological Medicine and Protection,2018,38(5):360-363 |
| Analysis of results of national biological dose estimation |
| Received:January 12, 2018 |
| DOI：10.3760/cma.j.issn.0254-5098.2018.05.007 |
| KeyWords:Radiation hygiene technical institution Biological dose estimation Chromosome aberration Ability assessment |
| FundProject:科技部科研院所技术开发研究专项资金（2012EG150137） |
| Author Name | Affiliation | E-mail | | Wu Lina | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Pan Yan | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Ruan Jianlei | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Gao Gang | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Piao Chunnan | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Liu Jianxiang | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | liujianxiang@nirp.chinacdc.cn |
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| Abstract:: |
| Objective To analyze the biological dose estimation ability of the radiation health technology institutions nationwide from 2015 to 2017, and their development in recent years. Methods SPSS 19.0 software was used to analyze and pack the data involved in the 2015-2017 year assessments by using χ2 test. Statistical analysis was conducted of qualification rate, excellent rate, participating units and dose estimation deviation distribution. Results The qualification rate gradually increased from 2015 to 2017. Compared with 2015, the passing rate significantly increased in 2017 with statistically significant difference(χ2=3.978, P<0.05). A total of 53 units participated in the biological dose assessment, of which 30 units were involved over the three consecutive years, accounting for 57%. In the distribution of the relative deviation of dose estimates made by the units participating in the three-year assessment, the proportion of estimated deviations in the range of 5%-10% increased whereas those in the range of 15%-20% and >20% decreased. Conclusions During 2015-2017 year period the biological dose estimation ability of all units involved in the assessment nationwide was basically stable, with gradually improved test level, qualification rate and steady excellence rate. |
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