Childhood Lead Exposure Risk Model
Author Information
Author(s): Kim Dohyeong, Galeano M. Alicia, Overstreet Hull, Andrew Miranda, Marie Lynn
Primary Institution: Duke University
Hypothesis
Can increased effort in geocoding improve the performance of childhood lead exposure risk models?
Conclusion
The study shows that it is feasible to replicate highly spatially resolved childhood lead exposure risk models to guide interventions.
Supporting Evidence
- Models identified high-risk areas for targeted intervention.
- Geocoding to the tax parcel level improved model performance.
- Models can guide local health departments in lead exposure prevention.
Takeaway
This study helps find areas where kids are at risk of lead exposure so that we can help them better.
Methodology
Three childhood lead exposure risk models were constructed using different levels of geocoded data from blood lead surveillance, county tax assessors, and the 2000 U.S. Census.
Potential Biases
Potential inaccuracies in address matching during geocoding could introduce bias.
Limitations
Some blood lead screens remained ungeocoded, and errors in geocoding could affect model parameters.
Participant Demographics
Children aged 9 months to 6 years tested for blood lead levels between 1995 and 2003.
Digital Object Identifier (DOI)
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