Qian Chen

TL;DR: A typical type of geospatial big data, points-of-interest (POIs), was combined with multi-source remote sensing data in a random forests model to disaggregate the 2010 county-level census population data to 100 × 100 m grids and showed higher accuracy.

TL;DR: The notion that smaller size fractions of PM have a more toxic mortality impacts is supported, which suggests to develop strategies to prevent and control PM1 in China, such as to foster strict regulations for automobile and industrial emissions.

TL;DR: Rural residents are more sensitive to both cold and hot temperatures than urban residents in Zhejiang Province, China, particularly the elderly, suggesting past studies using exposure–response functions derived from urban areas may underestimate the mortality burden for the population as a whole.

TL;DR: This study combined POI and multisensor remote sensing data into new ancillary data to aid population redistribution from census to grid cells at a resolution of 250 m in Zhejiang, China and showed that the approach redistributed the population with fewer errors than WorldPop, especially at the extremes of population density.

TL;DR: A novel spatiotemporal TV index was developed, considering both the temporal and spatial variability of temperatures, and significant associations were found between TV and all types of targeted diseases, age groups, and genders.