Abstract
In an effort to protect children from lead exposure, the Children’s Environmental Health Initiative (CEHI) at Duke University has created a lead exposure risk model for 32 North Carolina counties and several national replication sites. The model combines county tax assessor data, blood lead screening data from clinic visits, and US Census data through Geographic Information Systems (GIS) analysis to predict the risk of lead exposure at the individual household level. CEHI has disseminated the model to public health departments, city housing agencies, local nonprofit organizations, and state agencies in support of their lead poisoning prevention efforts. These groups have effectively used CEHI’s lead model for a diverse set of applications including setting action levels for lead, targeting blood lead screening and home lead sampling, identifying homes for lead abatement interventions, and planning educational programs in high-risk neighborhoods. The lead model has helped groups select the strategies and project areas that will lead to the greatest possible reductions in childhood lead poisoning with limited resources. The model also provides a basis for potential decision modeling applications by which government agencies and other organizations can develop least-cost interventions to reduce the risk of lead poisoning.
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References
Binns, H. J., LeBailly, S. A., Fingar, A. R., & Saunders, S. (1999). Evaluation of risk assessment questions used to target blood lead screening in Illinois. Pediatrics, 103, 100–106.
Canfield, R. L., Henderson, C. R., Cory-Slechta, D. A., Cox, C., Jusko, T. A., & Lanphear, B. P.(2003). Intellectual impairment in children with blood lead concentrations below 10 μg per deciliter. The New England Journal of Medicine, 348, 1517–1526.
CDC (2006). Laboratory standardization: Lead. Centers for Disease Control and Prevention. http://www.cdc.gov/nceh/dls/lead.htm. Accessed 21 Sept 2006
U.S. Census Bureau (2010). 2008 American community survey 1-year estimates. American FactFinder. http://factfinder.census.gov . Accessed 28 June 2010.
Centers for Disease Control and Prevention. (1991). Preventing lead poisoning in young children: A statement by the Centers for Disease Control. Atlanta, GA: Centers for Disease Control and Prevention.
Chiodo, L. M., Jacobson, S. W., & Jacobson, J. L. (2004). Neurodevelopmental effects of postnatal lead exposure at very low levels. Neurotoxicology and Teratology, 26, 359–371.
Gatsonis, C. A., & Needleman, H. L. (1992). Recent epidemiologic studies of low-level lead exposure and the IQ of children: A meta-analytic review. In H. L. Needleman (Ed.), Human lead exposure (pp. 244–255). Boca Raton: CRC.
Kim, D., Overstreet Galeano, M. A., Hull, A., & Miranda, M. L. (2008). A framework for wide-spread replication of a highly spatially resolved childhood lead exposure risk model. Environmental Health Perspectives, 116(12), 1735–1739.
Lanphear, B. P., Dietrich, K., Auinger, P., & Cox, C. (2000). Cognitive deficits associated with blood lead concentrations < 10 μg/dL in US children and adolescents. Public Health Reports, 115, 521–529.
Lanphear, B. P., Hornung, R., & Ho, M. (2005). Screening housing to prevent lead toxicity in children. Public Health Reports, 120, 305–310.
Lanphear, B. P., Hornung, R., Khoury, J., Yolton, K., Baghurst, P., Bellinger, D. C., et al. (2005). Low-level environmental lead exposure and children's intellectual function: An international pooled analysis. Environmental Health Perspectives, 113, 894–899.
Lansdorp-Vogelaar, I., Kuntz, K. M., Knudsen, A. B., Wilschut, J. A., Zauber, A. G., & van Ballegooijen, M. (2010). Stool DNA testing to screen for colorectal cancer in the medicare population: A cost-effectiveness analysis. Annals of Internal Medicine, 153, 368–377.
Miranda, M. L., Dolinoy, D., & Overstreet, M. (2002). Mapping for prevention: GIS models for directing childhood lead poisoning prevention programs. Environmental Health Perspectives, 110(9), 947–953.
Miranda, M. L., Dolinoy, D., & Overstreet, M. A. (2003). GIS and childhood lead exposure: From research design to model development to community translation. Public Health GIS News and Information Number 54 (pp. 11–14), September 2003.
Miranda, M. L., Kim, D., Overstreet Galeano, M. A., Paul, C., Hull, A., & Morgan, S. P. (2006). Evaluating the CDC blood lead threshold: The relationship between early childhood blood lead levels and performance on end of grade tests. In: Neurotoxicology in development & aging. 23rd International Neurotoxicology Conference, Little Rock, AK.
Miranda, M. L., Kim, D., Reiter, J., Overstreet Galeano, M. A., & Maxson, P. (2009). Environmental contributors to the achievement gap. NeuroToxicology, 30, 1019–1024.
National Center for Health Statistics (2010). National health and nutrition examination survey data. http://www.cdc.gov/nchs/nhanes/nhanes2007-2008/nhanes07_08.htm. Accessed 14 Apr 2010.
Schnaas, L., Rothenberg, S. J., Flores, M. F., Martinez, S., Hernandez, C., Osorio, E., et al. (2006). Reduced intellectual development in children with prenatal lead exposure. Environmental Health Perspectives, 114, 791–797.
Schwartz, J. (1994). Low-level lead exposure and children's IQ: A meta-analysis and search for a threshold. Environmental Research, 65, 42–55.
Shannon, M. (1996). Etiology of childhood lead poisoning. In S. Pueschel, J. Linakis, & A. Anderson (Eds.), Lead poisoning in childhood. Baltimore, MD: Paul H. Brookes Publishing Company.
Telford, J. J., Levy, A. R., Sambrook, J. C., Zou, D., & Enns, R. A. (2010). The cost-effectiveness of screening for colorectal cancer. Canadian Medical Association Journal, 182, 1307–1313.
Vaidyanathan, A., Staley, F., Shire, J., Muthukumar, S., Kennedy, C., Meyer, P. A., et al. (2009). Screening for lead poisoning: A geospatial approach to determine testing of children in at-risk neighborhoods. Journal of Pediatrics, 154, 409–414.
Van den Biggelaar, F. J. H. M., Kessels, A. G. H., van Engelshoven, J. M. A., & Flobbe, K. (2009). Costs and effects of using specialized breast technologists in prereading mammograms in a clinical patient population. International Journal of Technology Assessment in Health Care, 25, 505–513.
Yabroff, K. R., Saraiya, M., Meissner, H. I., Haggstrom, D. A., Wideroff, L., Yuan, G., et al. (2009). Specialty differences in primary care physician reports of Papanicolaou test screening practices: a national survey, 2006 to 2007. Annals of Internal Medicine, 151, 602–611.
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Hastings, D., Miranda, M.L. (2012). Using GIS-Based Models to Protect Children from Lead Exposure. In: Johnson, M. (eds) Community-Based Operations Research. International Series in Operations Research & Management Science, vol 167. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0806-2_7
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