Developed by Seabourne Consulting, experts in Childhood Lead Paint Hazard Data Sharing

Childhood Lead Paint Hazard Data Sharing

The Chicago Department of Public Health (CDPH) with its partner at the University of Chicago’s Center for Data Science and Public Policy created a predictive model that helps identify young children at risk of being lead poisoned in homes with lead paint. The model provides an opportunity to prevent lead paint exposure through proactive home lead inspections and blood testing at an earlier age. The predictive model combines data from multiple sectors including public health, census, buildings and the county assessor’s office to create realtime interfaces that identify where at-risk children live. CDPH housing inspectors will be alerted to inspect the homes of at-risk children for lead paint hazards either through an application or by physicians at community health centers through electronic health records (EHR).

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