Protecting US Children From Lead Exposures: Applications of a Data-Mapping Blueprint for Focusing High-Impact
Valerie Zartarian1, Alan Walts1, Carol Ann Gross-Davis1
1Valerie Zartarian was with the Environmental Protection Agency (EPA) Office of Research and Development (ORD), Boston, MA. Alan Walts and Alexa Burnett were with EPA Region 5, Chicago, IL. Carol Ann Gross-Davis was with EPA Region 3, Philadelphia, PA. Antonios Poulakos is with LinTech Global, Inc. under contract to EPA Region 1, Boston, MA. Kathy Triantafillou is with EPA Region 5, Chicago, IL. Kristi Rea Simoneau is with EPA Region 1, Boston, MA. Nicholas Spalt and Maxwell Kromer are with EPA Office of Enforcement and Compliance Assurance (OECA), Washington, DC. Chloe Durand and Shayna Sellars are with EPA Office of Chemical Safety and Pollution Prevention (OCSPP), Washington, DC. Rashad Taylor was with EPA Office of Children's Health Protection, Washington, DC. Colleen Neely is with EPA Office of Water, Washington, DC. Thomas Speth was with EPA ORD, Cincinnati, OH. Nichole Kulikowski was with EPA ORD, Washington, DC. Veronica Helms Garrison and Peter Han are with the Department of Housing and Urban Development, Washington, DC. Rogelio Tornero-Velez and Lindsay Wichers Stanek were with EPA ORD in Research Triangle Park, NC.
None:
Objectives. To describe a data-mapping blueprint for identifying US locations at high risk for childhood lead exposure and to apply this approach to inform targeted public health interventions. Methods. We developed a stepwise, flexible blueprint integrating environmental and housing data, blood lead level data, and geospatial mapping to identify potential lead exposure hotspots, characterize contributing sources, and guide intervention prioritization. We applied the blueprint in multiple federal and state case studies through interagency collaboration. Results. Application of the blueprint identified high-risk locations for childhood lead exposure and informed targeted actions across diverse contexts. In data-rich settings, integration of blood lead level and environmental data enabled identification of exposure hotspots and prioritization of outreach, enforcement, and remediation. In data-limited settings, lead exposure indices and environmental indicators supported targeted surveillance and resource allocation. Across applications, the blueprint facilitated coordination among agencies, improved lead-based paint and infrastructure intervention targeting, and supported expansion of screening and prevention efforts. Conclusions. A coordinated, data-driven mapping approach can improve identification of lead exposure hotspots and support prioritization of impactful interventions. Public Health Implications. Broader implementation of the blueprint, along with enhanced data integration and interagency collaboration, may strengthen efforts to reduce childhood lead exposures and improve public health outcomes. (Am J Public Health. 2026;116(7):1030-1037. https://doi.org/10.2105/AJPH.2026.308440).
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