Danesh Yazdi Lab

Research focus

NIH R01 · 2024

Population-Based Assessment of the Health Effects of Climate Exposure Using Hyperlocal Predictive Models

` Project Summary We aim to develop a daily temperature model on 30m road segments for all roads in the contiguous United States from 2000 to 2020. We will use satellite data, land use features, elevation, etc. as predictors in a stacked machine learning approach which will be trained on tens of thousands of weather stations to estimate hyperlocal predictions. We will in turn use this model to identify urban heat islands, hot and cold spots, and identify populations most vulnerable to sub- optimal temperature exposure. This model will be made publicly available to all stakeholders including community members, researchers, and policy makers to help examine and address structural…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.