Multiple systematic reviews and meta-analyses linked prenatal exposure to ambient air
pollutants to adverse birth outcomes with mixed findings, including results indicating …

Analyzing individual exposure in urban areas offers several challenges where both the
individual's activities and air pollution levels demonstrate a large degree of spatial and …

Poor air quality is globally the largest environmental health risk. Epidemiological studies
have uncovered clear relationships of gaseous pollutants and particulate matter (PM) with …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Abstract Low-cost, light-scattering-based particulate matter (PM) sensors are becoming
more widely available and are being increasingly deployed in ambient and indoor …

As global awareness of air pollution rises, so does the imperative to provide evidence-based
recommendations for strategies to mitigate its impact. While public policy has a central role …

Due to the rapid development of low-cost air-quality sensors, a rigorous scientific evaluation
has not been conducted for many available sensors. We evaluated three Plantower PMS …

While recent assessments have quantified the burden of air pollution at the national scale in
China, air quality managers would benefit from assessments that disaggregate health …

This study aims to empirically demonstrate the necessity to consider both the spatiotemporal
variability of air pollution and individual daily movement patterns in exposure and health risk …

Adverse health effects from exposure to air pollution are a global challenge and of
widespread concern. Recent high ambient concentration episodes of air pollutants in …