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Open Access Green as soon as Postprint is submitted to ZB.
Modeling human genetic radiation risks around nuclear facilities in Germany and five neighboring countries: A sex ratio study.
Environ. Modell. Softw. 79, 343-353 (2016)
Ionizing radiation causes genetic mutations, and nuclear facilities, research reactors, and power reactors discharge radionuclides and neutrons. On the basis of exhaustive municipality data, we considered the human birth sex ratio in 78 million births in Austria, France, Germany, Luxembourg, Switzerland, and The Netherlands (1957–2013). We present a novel environmental health modeling concept expressing the spatiotemporal association of the sex ratio with minimum distance from operating or decommissioned nuclear facilities. Spatial correlation of the sex ratio is assessed by directional and omnidirectional semivariogram analyses. We detected elevated human sex ratios near nuclear facilities, whether we analyzed comprehensive groups of nuclear installations, or looked at individual facilities in a descriptive and exploratory manner. The sex ratio increases are typically between a few per mill and a few percent, and they occur in regions of up to 40 km around the nuclear installations. Intensifying research in the field of radiation induced genetic effects is recommended.
Impact Factor
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Times Cited
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4.207
2.034
5
6
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Big data; Change-point; Environmental health risk modeling; Nuclear facilities; Radiation induced genetic effects; Rayleigh function; Sex odds; Shifted Gaussian function; Variogram analysis; Power-plant Accident; Female Birth Ratio; Chernobyl Accident; Down-syndrome; Congenital-malformations; Perinatal-mortality; Ionizing-radiation; Childhood-cancer; Global Risk; Exposure
Language
Publication Year
2016
Prepublished in Year
2015
HGF-reported in Year
2015
ISSN (print) / ISBN
1364-8152
e-ISSN
1873-6726
Quellenangaben
Volume: 79,
Pages: 343-353
Publisher
Elsevier
Publishing Place
Oxford
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
WOS ID
WOS:000374602000025
Scopus ID
84960459661
Erfassungsdatum
2015-11-24