Health disturbances and exposure to radiofrequency electromagnetic fields from mobile-phone base stations in French urban areas.

The effects of radiofrequency exposure on the health of people living near mobile-phone base stations (MPBSs) have been the subject of several studies since the mid-2000s, with contradictory results. We aimed to investigate the association between measured exposure to radiofrequency electromagnetic fields (RF-EMF) from MPBSs and the presence of self-reported non-specific and insomnia-like symptoms. A cross-sectional survey conducted between 2015 and 2017 in five large cities in France involved 354 people living in buildings located at a distance of 250 m or less from an MPBS and in the main transmit beam of the antennas.

Exposure to Cypress Pollens and Subsequent Symptoms: A Panel Study.

Objective: The objective of this panel study was to document the relationship between exposure to cypress pollen and allergic symptoms.

Methods: The study group included 47 patients with allergy to cypress pollen who completed a daily diary and a weekly evaluation of quality of life (QoL) during the cypress pollen season. Different patients were included in three consecutive pollen seasons: 2014-2015, 2015-2016, and 2016-2017.

Forecasting the onset of an allergic risk to poaceae in Nancy and Strasbourg (France) with different methods.

Pollens of Poaceae are among the most allergenic pollen in Europe with pollen of birch. It is therefore useful to elaborate models to help pollen allergy sufferers. The objective of this study was to construct forecast models that could predict the first day characterized by a certain level of allergic risk called here the Starting Date of the Allergic Risk (SDAR).

Forecasting the onset of an allergic risk to poaceae in Nancy and Strasbourg (France) with different methods.

Pollen of Poaceae is among the most allergenic pollen in Europe with pollen of birch. It is therefore useful to elaborate models to help pollen allergy sufferers. The objective of this study was to construct forecast models that could predict the first day characterized by a certain level of allergic risk called here the Starting Date of the Allergic Risk (SDAR).