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Scherb, H. ; Kusmierz, R. ; Sigler, M. ; Voigt, K.

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)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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.
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Icb_biostatistics Icb_ibs
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter 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
Sprache
Veröffentlichungsjahr 2016
Prepublished im Jahr 2015
HGF-Berichtsjahr 2015
ISSN (print) / ISBN 1364-8152
e-ISSN 1873-6726
Zeitschrift Environmental Modelling and Software
Quellenangaben Band: 79, Heft: , Seiten: 343-353 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Oxford
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
DOI 10.1016/j.envsoft.2015.10.019
WOS ID WOS:000374602000025
Scopus ID 84960459661
Erfassungsdatum 2015-11-24
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