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2 postsBus-exposure matrix, a tool to assess bus drivers' exposure to physicochemical hazards
This paper describes the development of a Bus-Exposure Matrix (BEM) to retrospectively estimate Swiss bus drivers’ exposures to 10 physicochemical hazards, including electric and magnetic fields. Measurements in representative buses were combined with technical inventories and INLA modeling to estimate annual exposures from 1985–2022. Reported trends include increasing peak noise and electric-field exposures over time, alongside decreases in several air pollution, vibration, and noise metrics.
Analyzing the Impact of Occupational Exposures on Male Fertility Indicators: A Machine Learning Approach
This occupational epidemiology study used machine learning to evaluate whether workplace exposures (including magnetic and electric fields, vibration, noise, and heat stress) predict male reproductive indicators in 80 workers. The models and explainable AI outputs highlighted magnetic and electric field exposures and age as key predictors linked to lower free testosterone. The authors also report a 10-year forecast identifying electric field exposure as the most important long-term risk factor.