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Protecting US Children From Lead Exposures: Applications of a Data-Mapping Blueprint for Focusing High-Impact Interventions.

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Title: Protecting US Children From Lead Exposures: Applications of a Data-Mapping Blueprint for Focusing High-Impact Interventions.
Authors: Zartarian, Valerie, Walts, Alan, Gross-Davis, Carol Ann, Poulakos, Antonios, Triantafillou, Kathy, Simoneau, Kristi Rea, Spalt, Nicholas, Durand, Chloe, Sellars, Shayna, Kromer, Maxwell, Burnett, Alexa, Taylor, Rashad, Neely, Colleen, Speth, Thomas, Kulikowski, Nichole, Garrison, Veronica Helms, Han, Peter, Tornero-Velez, Rogelio, Stanek, Lindsay Wichers
Source: American Journal of Public Health. Jul2026, Vol. 116 Issue 7, p1030-1037. 8p.
Subjects: Lead exposure, Risk assessment, Children's health, Interprofessional relations, Resource allocation, Children's accident prevention, Public health, Lead, Children
Geographic Terms: United States
Abstract: 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) [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Protecting US Children From Lead Exposures: Applications of a Data-Mapping Blueprint for Focusing High-Impact Interventions.
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Jul2026, Vol. 116 Issue 7, p1030-1037. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Lead+exposure%22">Lead exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Children's+health%22">Children's health</searchLink><br /><searchLink fieldCode="DE" term="%22Interprofessional+relations%22">Interprofessional relations</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Children's+accident+prevention%22">Children's accident prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Lead%22">Lead</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink>
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  Data: 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) [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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