Literature DB >> 18676976

Applicability of an exposure model for the determination of emissions from mobile phone base stations.

J Breckenkamp1, H P Neitzke, C Bornkessel, G Berg-Beckhoff.   

Abstract

Applicability of a model to estimate radiofrequency electromagnetic field (RF-EMF) strength in households from mobile phone base stations was evaluated with technical data of mobile phone base stations available from the German Net Agency, and dosimetric measurements, performed in an epidemiological study. Estimated exposure and exposure measured with dosemeters in 1322 participating households were compared. For that purpose, the upper 10th percentiles of both outcomes were defined as the 'higher exposed' groups. To assess the agreement of the defined 'higher' exposed groups, kappa coefficient, sensitivity and specificity were calculated. The present results show only a weak agreement of calculations and measurements (kappa values between -0.03 and 0.28, sensitivity between 7.1 and 34.6). Only in some of the sub-analyses, a higher agreement was found, e.g. when measured instead of interpolated geo-coordinates were used to calculate the distance between households and base stations, which is one important parameter in modelling exposure. During the development of the exposure model, more precise input data were available for its internal validation, which yielded kappa values between 0.41 and 0.68 and sensitivity between 55 and 76 for different types of housing areas. Contrary to this, the calculation of exposure-on the basis of the available imprecise data from the epidemiological study-is associated with a relatively high degree of uncertainty. Thus, the model can only be applied in epidemiological studies, when the uncertainty of the input data is considerably reduced. Otherwise, the use of dosemeters to determine the exposure from RF-EMF in epidemiological studies is recommended.

Mesh:

Year:  2008        PMID: 18676976     DOI: 10.1093/rpd/ncn201

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  5 in total

1.  What input data are needed to accurately model electromagnetic fields from mobile phone base stations?

Authors:  Johan Beekhuizen; Hans Kromhout; Alfred Bürgi; Anke Huss; Roel Vermeulen
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-01-29       Impact factor: 5.563

2.  Conduct of a personal radiofrequency electromagnetic field measurement study: proposed study protocol.

Authors:  Martin Röösli; Patrizia Frei; John Bolte; Georg Neubauer; Elisabeth Cardis; Maria Feychting; Peter Gajsek; Sabine Heinrich; Wout Joseph; Simon Mann; Luc Martens; Evelyn Mohler; Roger C Parslow; Aslak Harbo Poulsen; Katja Radon; Joachim Schüz; György Thuroczy; Jean-François Viel; Martine Vrijheid
Journal:  Environ Health       Date:  2010-05-20       Impact factor: 5.984

3.  Non-specific physical symptoms in relation to actual and perceived proximity to mobile phone base stations and powerlines.

Authors:  Christos Baliatsas; Irene van Kamp; Gert Kelfkens; Maarten Schipper; John Bolte; Joris Yzermans; Erik Lebret
Journal:  BMC Public Health       Date:  2011-06-01       Impact factor: 3.295

4.  Development of an RF-EMF Exposure Surrogate for Epidemiologic Research.

Authors:  Katharina Roser; Anna Schoeni; Alfred Bürgi; Martin Röösli
Journal:  Int J Environ Res Public Health       Date:  2015-05-22       Impact factor: 3.390

5.  A Technical Approach to the Evaluation of Radiofrequency Radiation Emissions from Mobile Telephony Base Stations.

Authors:  Raimondas Buckus; Birute Strukčinskienė; Juozas Raistenskis; Rimantas Stukas; Aurelija Šidlauskienė; Rimantė Čerkauskienė; Dorina Nicolina Isopescu; Jan Stabryla; Igor Cretescu
Journal:  Int J Environ Res Public Health       Date:  2017-03-01       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.