This co-designed provocation study in IEI-EMF volunteers evaluated whether perceived exposure and symptom reporting tracked actual EMF exposure under double-blind conditions. The abstract reports no consistent alignment between perceived exposure certainty or symptoms and true exposure status at the group level, with limited individual exceptions. Symptom reporting was related to certainty of being exposed for about half of participants, which the authors interpret as supporting a nocebo-type mechanism and motivating refinement of provocation protocols.

This randomized study tested whether viewing alarmist media and participating in an open-label RF-EMF provocation trial influenced non-specific symptoms and salivary cortisol. Participants who believed they were being exposed reported more symptoms than those who believed they were not exposed. The study did not find a replicated effect of alarmist media or open-label RF-EMF exposure on salivary cortisol, suggesting reported symptoms were more related to perception than cortisol-measured stress.

This exposure assessment measured environmental and auto-induced RF-EMF across more than 800 microenvironments in ten European countries, with a focus on 5G-related bands. Non-user environmental exposure was reported to be below international guideline values and similar to prior European research, while induced traffic substantially increased measured exposure, especially in uplink scenarios. The study also reports systematic differences by setting (cities vs villages) and by national precautionary limit policies.

This exposure-assessment study analyzed two years of continuous frequency-selective monitoring from 13 sensors in the five largest cities in Greece, focusing on the 3.6 GHz 5G band. It reports a gradual increase in 3.6 GHz environmental EMF levels over time and greater variability than legacy cellular bands, with 30-minute averaging reducing observed fluctuations. Despite the upward trend and variability, all measurements were reported to remain well below Greek and ICNIRP reference levels, and the authors emphasize the value of continuous monitoring as 5G deployment expands.

This conference paper examines extrapolation factors used for in-situ EMF exposure assessment of 5G base stations in realistic indoor and outdoor scenarios. Using both frequency-selective and code-selective measurement approaches under varying traffic conditions, it reports substantial variability in extrapolated exposure estimates driven largely by antenna radiation patterns. Outdoor environments showed more stable extrapolation than indoor environments, highlighting challenges for reliable exposure assessment when antenna patterns and network configurations are not well characterized.

This paper proposes a time-averaging approach for analyzing long-term EMF exposure using time-series data from three sensors in a regulatory monitoring network. Sensors were installed at two kindergartens and one elementary school, and analyses reported daily/weekly patterns, differences between weekdays and weekends, and site-specific annual increases/decreases. The work emphasizes the value of continuous monitoring in sensitive areas, while not directly assessing health outcomes.

This exposure assessment reports 400 ground-level electric field measurements in Greek urban and suburban areas during 5G deployment. It finds that 4G contributes most to overall measured EMF exposure, while 5G currently contributes less. The study reports an inverse relationship between 3.5 GHz EMF levels and distance from 5G base stations, with urban areas showing higher levels than suburban areas.

This randomized sham-controlled study in 21 healthy participants tested whether routine-level 5G RF-EMF exposure affects fatigue and EEG power, while manipulating expectancy via correct, false, or no information about exposure order. The study reports no change in EEG power with real versus sham exposure. However, self-reported fatigue varied with the conveyed information about being exposed, suggesting an expectancy/psychological priming effect on symptom reporting.

This protocol and pilot study evaluated whether smartphone signal strength indicators can be converted into RF-EMF exposure estimates using derived formulas and regression models. The study reports a positive log-linear association between LTE RSSI and far-field (base station) exposure aggregated by location, while handset-related exposure at the ear and chest during data transmission showed negative log-linear trends with improving signal quality. The authors conclude the ETAIN 5G-Scientist app may support large-scale RF-EMF exposure assessment, but emphasize the need for more data to improve accuracy and address uncertainties in individual measurements.

This longitudinal cohort study examined the temporal relationship between somatization and perceived RF-EMF exposure, comparing the attribution hypothesis with the nocebo hypothesis. Using AMIGO questionnaire data from 2011 and 2015, regression analyses suggested the attribution hypothesis more often explained symptom reporting linked to perceived base station RF-EMF exposure and perceived electricity exposure than the nocebo hypothesis. The authors state this contrasts with prior literature and note that a nocebo effect is not fully excluded.

This engineering/methods study proposes an evolutionary computation approach (PCRO-SL) to optimize the selection of measurement points for constructing RF-EMF exposure maps. Tested on real measurements in Meco (Madrid, Spain), it reports good agreement with a reference exposure map while reducing required sampling density. The authors provide practical point-selection rules (e.g., line-of-sight within 250 m and directional sampling within 500 m) intended to maintain representativeness and avoid interpolation artifacts.

This exposure assessment study introduces a cost-efficient add-on sensor attached to a smartphone to quantify auto-induced uplink RF-EMF transmission across 100–6000 MHz in multiple microenvironments. Activity-based surveys were conducted in seven European countries under non-user, maximum downlink, and maximum uplink scenarios. Reported power levels were lowest for non-user scenarios and higher during active use, with variation by country, urbanization, and setting. The authors frame the work as supporting future epidemiological research and planned validation against other tools.

This rodent study examined whether 2.45 GHz Wi‑Fi router RF-EMF exposure could mitigate heat-stress-related reproductive damage in male rats. The combined RF-EMF + heat group reportedly had improved testicular structure measures and sperm quality versus heat-only, while RF-EMF alone was also reported to alter testis and sperm parameters. The authors interpret the findings as potentially consistent with an adaptive response and call for more research on mechanisms and safety.

The paper describes the development of RF-shielded hats using a microwave absorbing sheet intended to reduce EMF exposure to a cameraman’s head. Three hat designs are described, and measurements are planned/performed in an anechoic chamber using a wireless video camera operating around 1.9–2.7 GHz, including a 2.45 GHz signal condition and a sham condition. The abstract does not report quantitative results on whether exposure was reduced.