Lead Data Mapping to Prioritize US Locations for Whole-of-Government Exposure Prevention Efforts: State of the
Valerie Zartarian1, Antonios Poulakos1, Veronica Helms Garrison1
1Valerie Zartarian, Rogelio Tornero-Velez, and Jianping Xue are with the US Environmental Protection Agency (EPA), Office of Research and Development, Research Triangle Park, NC. Antonios Poulakos is with LinTech Global Inc, Boston, MA (contractor for US EPA Office of Research and Development). Veronica Helms Garrison is with the US Department of Housing and Urban Development (HUD), Office of Policy Development and Research. Nicholas Spalt is with the US Environmental Protection Agency, Office of Enforcement and Compliance Assurance, Washington, DC. Kathryn Egan is with the Centers for Disease Control and Prevention (CDC), Agency for Toxic Substances and Disease Registry, Office of Community Health and Hazard Assessment, and the CDC, National Center for Environmental Health, Division of Environmental Health Science and Practice, Atlanta. Joseph Courtney is with the CDC, National Center for Environmental Health, Division of Environmental Health Science and Practice.
Abstract:
For this state-of-science overview of geospatial approaches for identifying US communities with high lead-exposure risk, we compiled and summarized public data and national maps of lead indices and models, environmental lead indicators, and children's blood lead surveillance data. Currently available indices and models are primarily constructed from housing-age and sociodemographic data; differing methods, variables, data, weighting schemes, and geographic scales yield maps with different exposure risk profiles. Environmental lead indicators are available (e.g., air, drinking water, dust, soil) at different spatial scales, but key gaps remain. Blood lead level data have limitations as testing, reporting, and completeness vary across states. Mapping tools and approaches developed by federal agencies and other groups for different purposes present an opportunity for greater collaboration. Maps, data visualization tools, and analyses that synthesize available geospatial efforts can be evaluated and improved with local knowledge and blood lead data to refine identification of high-risk locations for prioritizing prevention efforts and targeting risk-reduction strategies. Remaining challenges are discussed along with a work-in-progress systematic approach for cross-agency data integration, toward advancing "whole-of-government" public health protection from lead exposures. (Am J Public Health. 2022;112(S7):S658-S669. https://doi.org/10.2105/AJPH.2022.307051).
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