Publications by authors named "Fabrice Caini"
Background: Spatially resolved exposure models are increasingly used in epidemiology. We previously reported that, although exhibiting a moderate correlation, pregnancy nitrogen dioxide (NO2) levels estimated by the nearest air quality monitoring station (AQMS) model and a geostatistical model, showed similar associations with infant birth weight.
Objectives: We extended this study by comparing a total of four exposure models, including two highly spatially resolved models: a land-use regression (LUR) model and a dispersion model.
Article Synopsis
- The study compares two air pollution exposure models—one using data from nearby permanent air quality monitoring stations (AQMSs) and another with a temporally adjusted geostatistical (TAG) approach—focused on their impact on birth weight.
- Researchers followed 776 pregnant women near medium-sized cities to evaluate nitrogen dioxide (NO2) levels and the models' effectiveness in predicting birth weight outcomes.
- Results showed that while both models indicated a negative association between NO2 exposure and birth weight, the TAG model demonstrated a stronger and more consistent correlation, especially for women living within 2 km of an AQMS.