A model for radiofrequency electromagnetic field predictions at outdoor and indoor locations in the context of epidemiological research

Bürgi, Alfred; Frei, Patrizia; Theis, Gaston; Mohler, Evelyn; Braun-Fahrländer, Charlotte; Fröhlich, Jürg; Neubauer, Georg; Egger, Matthias; Röösli, Martin (2009). A model for radiofrequency electromagnetic field predictions at outdoor and indoor locations in the context of epidemiological research. Bioelectromagnetics, 31(3), pp. 226-236. New York,NY: Wiley-Liss 10.1002/bem.20552

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We present a geospatial model to predict the radiofrequency electromagnetic field from fixed site transmitters for use in epidemiological exposure assessment. The proposed model extends an existing model toward the prediction of indoor exposure, that is, at the homes of potential study participants. The model is based on accurate operation parameters of all stationary transmitters of mobile communication base stations, and radio broadcast and television transmitters for an extended urban and suburban region in the Basel area (Switzerland). The model was evaluated by calculating Spearman rank correlations and weighted Cohen's kappa (kappa) statistics between the model predictions and measurements obtained at street level, in the homes of volunteers, and in front of the windows of these homes. The correlation coefficients of the numerical predictions with street level measurements were 0.64, with indoor measurements 0.66, and with window measurements 0.67. The kappa coefficients were 0.48 (95%-confidence interval: 0.35-0.61) for street level measurements, 0.44 (95%-CI: 0.32-0.57) for indoor measurements, and 0.53 (95%-CI: 0.42-0.65) for window measurements. Although the modeling of shielding effects by walls and roofs requires considerable simplifications of a complex environment, we found a comparable accuracy of the model for indoor and outdoor points.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine

UniBE Contributor:

Egger, Matthias and Röösli, Martin

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

0197-8462

Publisher:

Wiley-Liss

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:07

Last Modified:

28 Jan 2015 16:21

Publisher DOI:

10.1002/bem.20552

PubMed ID:

19834920

Web of Science ID:

000276052600007

BORIS DOI:

10.7892/boris.32

URI:

https://boris.unibe.ch/id/eprint/32 (FactScience: 191526)

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