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Instruments to assess and measure personal and environmental radiofrequency-electromagnetic field exposures

Overview of attention for article published in Physical and Engineering Sciences in Medicine, December 2015
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Title
Instruments to assess and measure personal and environmental radiofrequency-electromagnetic field exposures
Published in
Physical and Engineering Sciences in Medicine, December 2015
DOI 10.1007/s13246-015-0412-z
Pubmed ID
Authors

Chhavi Raj Bhatt, Mary Redmayne, Michael J. Abramson, Geza Benke

Abstract

Radiofrequency-electromagnetic field (RF-EMF) exposure of human populations is increasing due to the widespread use of mobile phones and other telecommunication and broadcasting technologies. There are ongoing concerns about potential short- and long-term public health consequences from RF-EMF exposures. To elucidate the RF-EMF exposure-effect relationships, an objective evaluation of the exposures with robust assessment tools is necessary. This review discusses and compares currently available RF-EMF exposure assessment instruments, which can be used in human epidemiological studies. Quantitative assessment instruments are either mobile phone-based (apps/software-modified and hardware-modified) or exposimeters. Each of these tool has its usefulness and limitations. Our review suggests that assessment of RF-EMF exposures can be improved by using these tools compared to the proxy measures of exposure (e.g. questionnaires and billing records). This in turn, could be used to help increase knowledge about RF-EMF exposure induced health effects in human populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Bachelor 7 13%
Student > Ph. D. Student 6 11%
Student > Master 6 11%
Professor > Associate Professor 5 9%
Other 13 23%
Unknown 9 16%
Readers by discipline Count As %
Engineering 14 25%
Medicine and Dentistry 6 11%
Physics and Astronomy 5 9%
Psychology 4 7%
Nursing and Health Professions 3 5%
Other 13 23%
Unknown 11 20%