A Challenge to Scientific Risk Estimation on Health Effects of Low Dose Radiation - An Overview
Author(s) -
Tetsuya Ono
Publication year - 2007
Publication title -
data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.358
H-Index - 21
ISSN - 1683-1470
DOI - 10.2481/dsj.6.s99
Subject(s) - scope (computer science) , computer science , usability , transparency (behavior) , metadata , open data , data science , reuse , implementation , publishing , world wide web , political science , software engineering , computer security , engineering , human–computer interaction , programming language , waste management , law
Although experimental as well as epidemiological studies have revealed the health effects of ionizing radiation, most of our knowledge is for high doses of radiation, while little is known for low doses. For practical purposes, we estimate the risk of low dose radiation by extrapolating the effects at high doses to low doses in a linear relationship. However, several lines of evidence have accumulated in recent years that suggest this linear extrapolation is not necessarily correct and needs further scientific evaluation. Today, many scientists in the field are striving to understand the biological responses to low dose radiation. This work will provide new and perhaps convincing data which are necessary for risk estimation of low dose radiation. Here, I overview the background of the issue
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