Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …

Poor air quality accounts for more than 9 million deaths a year globally according to recent
estimates. A large portion of these deaths are attributable to cardiovascular causes, with …

Air quality is one of the most important factors in public health. While outdoor air quality is
widely studied, the indoor environment has been less scrutinised, even though time spent …

Growing evidence links traffic-related air pollution (TRAP) to adverse health effects. We
designed an innovative and extensive mobile monitoring campaign to characterize TRAP …

Here we retrieve global daily 1 km gapless PM2. 5 concentrations via machine learning and
big data, revealing its spatiotemporal variability at an exceptionally detailed level …

As wildland fires become more frequent and intense, fire smoke has significantly worsened
the ambient air quality, posing greater health risks. To better understand the impact of …

The widespread adoption of Internet of Things (IoT) sensors has revolutionized our
understanding of the formation and mitigation of air pollution, significantly improving the …

Short-term mobile monitoring campaigns are increasingly used to assess long-term air
pollution exposure in epidemiology. Little is known about how monitoring network design …

Determining the most feasible and cost-effective approaches to improving PM 2.5 exposure
assessment with low-cost monitors (LCMs) can considerably enhance the quality of its …

The application of low‐cost air quality monitoring networks has substantially grown over the
last few years, following the technological advances in the production of cheap and portable …