This article presents a novel methodology for measuring individual-level environmental exposures, focusing on the population of Bradford, UK. The authors address the limitations of current methods which rely on aggregate-level data, arguing that a more precise, individual-level approach is crucial for understanding environmental effects on health. They use a combination of high-resolution geospatial data and general practitioner patient information to model individuals' exposure across multiple domains (air quality, green space, public transport, walkability, traffic, built form, street centrality, land-use intensity, and food environments). The methodology is designed for broad applicability and offers a potential template for creating similar databases in other cities and countries.

Kimon Krenz, Ashley Dhanani, Rosemary R C Mceachan, Kuldeep Sohal, John Wright, Laura Vaughan