Instruments to assess and measure personal and environmental radiofrequency-electromagnetic field exposures.
Chhavi Raj Bhatt, Mary Redmayne, Michael J Abramson, Geza Benke
Author Information
Chhavi Raj Bhatt: Centre for Population Health Research on Electromagnetic Energy (PRESEE), School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria, Melbourne, 3004, Australia. chhavi.bhatt@monash.edu.
Mary Redmayne: Centre for Population Health Research on Electromagnetic Energy (PRESEE), School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria, Melbourne, 3004, Australia.
Michael J Abramson: Centre for Population Health Research on Electromagnetic Energy (PRESEE), School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria, Melbourne, 3004, Australia.
Geza Benke: Centre for Population Health Research on Electromagnetic Energy (PRESEE), School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, 99 Commercial Road, Victoria, Melbourne, 3004, Australia.
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.
