The Health & Urban Modeling Lab is led by Chris C. Lim, Assistant Professor at the The University of Arizona College of Public Health. We combine data science with community-engaged research to uncover how environmental exposures shape health inequities and drive actionable solutions for communities most impacted by climate change.
With climate change expected to intensify population-level exposures to air pollution, temperature, and extreme weather events, the corresponding public health burden will be increasingly significant. Our work aims to quantify the impacts of changing environmental exposures on various health outcomes.
We employ data analysis and visualization techniques with an emphasis on examining potential inequalities in the levels of exposures and the associated health impacts. We work closely with community organizations and schools to provide them with local and high-resolution environmental data.
This project investigates how neighborhood characteristics, including built environment features and social factors, influence cancer risk across diverse U.S. populations.
We explore the potential of low-cost sensors and Internet of Things for modeling the urban environment, citizen science projects, and exposure assessment.
Our projects aim to examine the relationship between temperature and health in the U.S and Arizona and identify potentially vulnerable populations.
We are part of research teams to provide contextualized knowledge capable of spurring and guiding responses to environmental concerns in Arizona.