Lloyd Roga
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lloyd Roga has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Anke Huss
Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
2 shared publications - Arno Thielens
Photonics Initiative, Advanced Science and Research Center, The Graduate Center of the City University of New York, New York, USA
2 shared publications - Hamed Jalilian
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, 4123, Switzerland
2 shared publications - Jürg Fröhlich
Fields at Work LLC, Zürich, 8032, Switzerland
2 shared publications - Martin Röösli
Swiss Tropical and Public Health Institute, Allschwil, Switzerland
2 shared publications - Nekane Sandoval-Diez
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, 4123, Switzerland
2 shared publications
Latest Publications
- Open Access
- 13 October 2026
- Published by Wiley in Bioelectromagnetics
- Vol. 47 (7)
Estimating Environmental RF‐EMF Exposure From Mobile Networks Using Signal Indicators Collected With the ETAIN 5G Scientist App
Smartphones track indicators of a reference signal to maintain network connectivity. These can serve as proxies for a subset of environmental radiofrequency electromagnetic field (RF‐EMF) exposure from mobile networks. In this multi‐country study, we developed conversion functions linking signal indicators collected with the ETAIN 5G‐Scientist app to measured RF‐EMF exposure. Parallel measurements were conducted across six European countries and Australia using frequency‐selective exposimeters and the app. Associations of signal strength and quality indicators with exposure were analysed using log‐linear regression models: (1) serving‐cell level, relating exposure in the serving frequency band to indicators of the connected cell (Europe n = 2960; Australia n = 747); and (2) location level, relating indicators aggregated across network providers to environmental exposure from 4G‐LTE and 5G‐NR networks (Europe n = 61; Australia n = 48). At the serving‐cell level, 4G‐LTE signal strength was positively associated with exposure, while signal quality was inversely associated. For 5G‐NR, only signal strength was associated with exposure, with weaker and less consistent relationships than for 4G‐LTE. At location level, aggregation across providers reduced model error, suggesting residual variability operates at short temporal and spatial scales. These findings support using smartphone signal indicators to estimate components of environmental RF‐EMF exposure, although further validation is needed, particularly for 5G‐NR. Bioelectromagnetics. 00:00–00, 2026. © 2026 Bioelectromagnetics Society.
- 13 October 2026
- Published by Wiley in Bioelectromagnetics
- Vol. 47 (7)
Open AccessEstimating Environmental RF‐EMF Exposure From Mobile Networks Using Signal Indicators Collected With the ETAIN 5G Scientist App
Smartphones track indicators of a reference signal to maintain network connectivity. These can serve as proxies for a subset of environmental radiofrequency electromagnetic field (RF‐EMF) exposure from mobile networks. In this multi‐country study, we developed conversion functions linking signal indicators collected with the ETAIN 5G‐Scientist app to measured RF‐EMF exposure. Parallel measurements were conducted across six European countries and Australia using frequency‐selective exposimeters and the app. Associations of signal strength and quality indicators with exposure were analysed using log‐linear regression models: (1) serving‐cell level, relating exposure in the serving frequency band to indicators of the connected cell (Europe n = 2960; Australia n = 747); and (2) location level, relating indicators aggregated across network providers to environmental exposure from 4G‐LTE and 5G‐NR networks (Europe n = 61; Australia n = 48). At the serving‐cell level, 4G‐LTE signal strength was positively associated with exposure, while signal quality was inversely associated. For 5G‐NR, only signal strength was associated with exposure, with weaker and less consistent relationships than for 4G‐LTE. At location level, aggregation across providers reduced model error, suggesting residual variability operates at short temporal and spatial scales. These findings support using smartphone signal indicators to estimate components of environmental RF‐EMF exposure, although further validation is needed, particularly for 5G‐NR. Bioelectromagnetics. 00:00–00, 2026. © 2026 Bioelectromagnetics Society.
- Open Access
- 8 October 2026
- Published by Elsevier in Environmental Research
- Vol. 309
Citizen science-based mapping of radiofrequency electromagnetic field exposure in Europe: A proof-of-concept validation study
- 8 October 2026
- Published by Elsevier in Environmental Research
- Vol. 309
Open AccessCitizen science-based mapping of radiofrequency electromagnetic field exposure in Europe: A proof-of-concept validation study