| Literature DB >> 33654268 |
Luuk van Wel1, Ilaria Liorni2, Anke Huss1, Arno Thielens3,4, Joe Wiart5, Wout Joseph3, Martin Röösli6,7, Milena Foerster6,7, Amelie Massardier-Pilonchery8,9, Myles Capstick2, Elisabeth Cardis10,11,12, Roel Vermeulen13.
Abstract
In order to achieve an integrated radio-frequency electromagnetic fields (RF-EMF) dose assessment, detailed information about source-specific exposure duration and output power is needed. We developed an Integrated Exposure Model (IEM) to combine energy absorbed due to use of and exposure to RF-EMF sources and applied it to a sample of the general population to derive population RF-EMF estimates. The IEM used specific absorption rate transfer algorithms to provide RF-EMF daily dose estimates (mJ/kg/day) using source-specific attributes (e.g. output power, distance), personal characteristics and usage patterns. Information was obtained from an international survey performed in four European countries with 1755 participants. We obtained median whole-body and whole-brain doses of 183.7 and 204.4 mJ/kg/day. Main contributors to whole-brain dose were mobile phone near the head for calling (2G networks) and far-field sources, whereas the latter together with multiple other RF-EMF sources were main contributors for whole-body dose. For other anatomical sites, 2G phone calls, mobile data and far-field exposure were important contributors. The IEM provides insight into main contributors to total RF-EMF dose and, applied to an international survey, provides an estimate of population RF-dose. The IEM can be used in future epidemiological studies, risk assessments and exposure reduction strategies.Entities:
Keywords: Dose estimation; Mobile communication devices; Modelling; RF-EMF
Mesh:
Year: 2021 PMID: 33654268 DOI: 10.1038/s41370-021-00287-8
Source DB: PubMed Journal: J Expo Sci Environ Epidemiol ISSN: 1559-0631 Impact factor: 5.563