Literature DB >> 27196609

Comprehensive personal RF-EMF exposure map and its potential use in epidemiological studies.

Jesus Gonzalez-Rubio1, Alberto Najera2, Enrique Arribas3.   

Abstract

In recent years, numerous epidemiological studies, which deal with the potential effects of mobile phone antennas on health, have almost exclusively focused on their distance to mobile phone base stations. Although it is known that this is not the best approach to the problem, this situation occurs due to the numerous difficulties when determining the personal exposure to the radiofrequency electromagnetic fields (RF-EMF). However, due to the rise of personal exposimeters, the evolution of spatial statistics, the development of geographical information systems and the use of powerful software, new alternatives are available to deal with these epidemiological studies and thus overcome the aforementioned difficulties. Using these tools, this paper presents a lattice map of personal RF-EMF exposure from exterior mobile phone base stations, covering the entire 110 administrative regions in the city of Albacete (Spain). For this purpose, we used a personal exposimeter, Satimo EME Spy 140 model, performing measurements every 4s The exposimeter was located inside the plastic basket of a bicycle, whose versatility permitted the access to all the zones of the city. Once the exposure map was prepared, its relation with the known antenna locations was studied. The 64 mobile telephone antennas of the city were also georeferenced; the randomness of both variables (exposure and antennas) were studied by means of the Moran's I test. Results showed that the distribution of the antennas follows a grouped pattern (p<0.001), while the distribution of the average exposure values have a random distribution (p=0.618). In addition, we showed two Spearman correlation studies: the first between the average exposure values and the number of mobile telephone antennas per administrative region, and the second, also considering the antennas of the neighbouring regions. No substantial correlation was detected in either of the two cases. This study also reveals the weaknesses of the epidemiological studies, which only take into account the distance to the antennas, which would provide a new approach to the problem. By precisely knowing the resident population of each administrative region of the city, this proves to be highly useful to rely on a prepared aggregate data map based on the mean exposure values to RF-EMF in these sections. The displayed map would permit the execution of more accurate epidemiological studies, since it would be possible to compare the exposure measurements with the incidence data of a disease.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Mobile phone base station; Nondetecs; Personal exposimeter (PEM); Radiation map; Radiofrequency electromagnetic fields (RF-EMF); Spatial data analysis

Mesh:

Year:  2016        PMID: 27196609     DOI: 10.1016/j.envres.2016.05.010

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  5 in total

1.  Comparison of statistic methods for censored personal exposure to RF-EMF data.

Authors:  Alberto Najera; Raquel Ramirez-Vazquez; Enrique Arribas; Jesus Gonzalez-Rubio
Journal:  Environ Monit Assess       Date:  2020-01-02       Impact factor: 2.513

2.  High radiofrequency radiation at Stockholm Old Town: An exposimeter study including the Royal Castle, Supreme Court, three major squares and the Swedish Parliament.

Authors:  Lennart Hardell; Michael Carlberg; Tarmo Koppel; Lena Hedendahl
Journal:  Mol Clin Oncol       Date:  2017-03-03

3.  Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band.

Authors:  Silvia de Miguel-Bilbao; Juan Blas; Victoria Ramos
Journal:  J Vis Exp       Date:  2018-05-02       Impact factor: 1.355

4.  Personal Exposure Assessment to Wi-Fi Radiofrequency Electromagnetic Fields in Mexican Microenvironments.

Authors:  Raquel Ramirez-Vazquez; Jesus Gonzalez-Rubio; Isabel Escobar; Carmen Del Pilar Suarez Rodriguez; Enrique Arribas
Journal:  Int J Environ Res Public Health       Date:  2021-02-14       Impact factor: 3.390

5.  Driving electrochemical corrosion of implanted CoCrMo metal via oscillatory electric fields without mechanical wear.

Authors:  Thomas S Welles; Jeongmin Ahn
Journal:  Sci Rep       Date:  2021-11-16       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.