The space-for-time substitution assumption is often used implicitly for studying ecological
processes in static spatial data sets. Since ecological processes occur in time, this practice …

Abstract Purpose of Review Epidemiological studies of short-and long-term health impacts
of ambient air pollutants require accurate exposure estimates. We describe the evolution in …

Many sensors have been deployed in the physical world, generating massive geo-tagged
time series data. In reality, readings of sensors are usually lost at various unexpected …

Epidemiological studies increasingly rely on exposure prediction models. Predictive
performance of satellite data has not been evaluated in a combined land-use …

Background Experimental studies have indicated that alterations in the gut microbiota might
play a role in the pathway of diabetes induction resulting from particulate matter pollution …

Background: Air pollution may be associated with elevated dementia risk. Prior research has
limitations that may affect reliability, and no studies have evaluated this question in a …

Background: Cohort studies of the relationship between air pollution exposure and chronic
health effects require predictions of exposure over long periods of time. Objectives: We …

With the rapid development of economy and the frequent occurrence of air pollution
incidents, the problem of air pollution has become a hot issue of concern to the whole …

Rationale: Short-and long-term fine particulate matter (particulate matter≤ 2.5 μm in
aerodynamic diameter [PM2. 5]) pollution is associated with asthma development and …

High-resolution, high-quality exposure modeling is critical for assessing the health effects of
ambient PM 2.5 in epidemiological studies. Using sparse regulatory PM 2.5 measurements …