Spatial Lifecourse Health

A multimodal, multi-output framework that estimates complete sex and age structures on 100 m grid cells from census data, remote sensing imagery, and geotagged social media data.

To introduce our published studies in sensing healthy city from multimodal geographic data, GeoAI to causal inference.

To introduce our published studies in sensing healthy city from multimodal geographic data, GeoAI to causal inference.

To introduce our published research in sensing obesogenic environments based on multimodal data and GeoAI.

Human mobility during the Spring Festival is a large-scale annual human mobility across China. This paper evaluated the human health risks of short-term exposure to PM2.5 in the Yangtze River Delta through a combination of the daily-level high …

To introduce our published paper in sensing health city using multimodal data and GeoAI.

To introduce our studies in health geography.

To introduce our published paper in sensing health city using multimodal data and GeoAI.

Air pollutants have been known as the most persistent environmental risk factors of elevated blood pressure (BP). However, most of the existing studies measured resting BP only, which is not accurate as ambulatory BP. This study investigated the …

To introduce our published paper in sensing health city using street view imagery and GeoAI.