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9 postsFilters: tag: public-health Clear
Massive assessment of exposure to 5G electromagnetic fields in France: a 5-year synthesis
This paper reports results from a large-scale, multi-phase measurement campaign in mainland France assessing changes in RF exposure associated with 5G deployment from 2020 to 2024. Using more than 24,000 on-ground measurements in direct view of 5G antennas, it finds small average increases in broadband exposure and increased contributions from 5G-related bands over time. The 3.5 GHz band contribution increased but remained a secondary contributor compared with legacy 800/900 MHz bands, and exposure during active downloading was higher than in idle mode.
Adverse Effects of Electromagnetic Fields on The Central Nervous System: A Review
This review argues that EMF exposure is associated in the literature with several adverse central nervous system outcomes, including blood-brain barrier disruption, oxidative stress, neurotransmitter changes, cognitive effects, and neurodevelopmental impacts. It reports that evidence on EMFs and brain tumors is conflicting, while noting WHO’s classification of radiofrequency EMFs as possibly carcinogenic to humans. The authors highlight prenatal and childhood periods as potentially more vulnerable and call for more standardized long-term and mechanistic research to guide public health policy.
Exploring the Potential Observations Between Geomagnetic Activity and Cardiovascular Events: A Scoping Review
This scoping review mapped evidence on associations between geomagnetic activity/space weather and cardiovascular events, identifying 36 eligible studies from 1964–2023. Most studies reported correlations between geomagnetic/space-weather exposures and increased myocardial infarction, stroke, acute coronary syndrome, or cardiovascular mortality, but the review emphasizes inconsistency and that much of the evidence is ecological with limited confounding control. The authors call for standardized prospective research to clarify mechanisms and potential public-health utility of space-weather monitoring.
Instruments and Measurement Techniques to Assess Extremely Low-Frequency Electromagnetic Fields
This paper presents a quantitative framework for selecting extremely low-frequency electromagnetic field (ELF-EMF) measurement instruments. It uses a weighted scoring matrix across six criteria and a logic-based flowchart to guide instrument choice based on operational needs. The framework is demonstrated in an occupational case study and is positioned as supporting transparent, adaptable device selection for occupational safety and public health.
Electrohypersensitivity: what is belief and what is known?
This article addresses electrohypersensitivity (EHS) in the context of public health and EMF-related health concerns. It focuses on distinguishing beliefs about EMF effects from what is currently supported by scientific evidence. The provided text notes ongoing debate and concern and calls for critical assessment of both beliefs and empirical findings.
Understanding Electromagnetic Hypersensitivity (EHS) From Mobile Phone Radiofrequency Radiation (RFR) Exposure: A Mixed-Method Study Protocol
This paper presents a mixed-method study protocol examining electromagnetic hypersensitivity (EHS) in relation to mobile phone radiofrequency radiation exposure among undergraduate students. The quantitative component aims to identify predictors of EHS using a biopsychosocial model, while the qualitative component explores individual experiences through in-depth interviews. The abstract provides study design details and sample size but does not report study results.
Self-diagnosing electromagnetic hypersensitivity-A case study
No abstract was provided in the source text. The provided overview indicates this is a case study of self-diagnosed electromagnetic hypersensitivity (EHS), describing symptoms attributed by an individual to EMF exposure. The supplied text emphasizes ongoing concern about potential health risks and calls for rigorous scientific inquiry and support for affected individuals.
A Decision Support System for Managing Health Symptoms of Living Near Mobile Phone Base Stations
This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest and prior models. The abstract concludes that proximity to base stations is connected with increased prevalence of several symptoms and emphasizes distance, age, and duration of residence as key predictors.
Mobile phone use and cancer
This narrative review discusses potential public health consequences of widespread mobile phone use and the controversy around long-term cancer risks. It states that evidence from epidemiological and experimental studies suggests long-term exposure to mobile phone emissions may be linked to a small to moderate increased risk of certain cancers, while also emphasizing that data are insufficient for a final risk assessment. The author argues that even small risks could matter at the population level and that exposure-reduction measures may be indicated given uncertainties.