Estimation of High Blood Lead Levels Among Children in Georgia: An Application of Bayesian Analysis

Shailendra N Banerjee1

  • 1National Center for Environmental Health, Centers for Disease Control and Prevention.

Insights

Children in Georgia may be undercounted for elevated blood lead levels (BLLs). This study used Bayesian methods to estimate BLLs in children under 6, revealing potential underreporting and the need for better protection strategies.

Area of Science:

  • Environmental Health
  • Pediatric Health
  • Biostatistics

Background:

  • Children in Georgia face elevated risks of lead exposure, particularly in specific counties.
  • Screening for blood lead levels (BLLs) is conducted for high-risk groups, including those with Medicaid or Peach Care for Kids.
  • Current screening may not identify all children with BLLs above the reference level of ≥5 microg/dL.

Purpose of the Study:

  • To estimate the number of children under 6 years with BLLs between 5-9 microg/dL in targeted Georgia counties.
  • To identify potential underreporting of elevated BLLs in children.
  • To inform strategies for better protecting at-risk children from lead poisoning.

Main Methods:

  • Utilized Bayesian statistical methods to estimate predictive density.
  • Calculated the estimated mean number of children with BLLs of 5-9 microg/dL.
  • Included 95% credible intervals for the estimated means in each targeted county.

Main Results:

  • The Bayesian model indicated likely underreporting of children under 6 with BLLs of 5-9 microg/dL in Georgia counties.
  • Estimated mean BLLs and credible intervals were calculated for targeted counties.
  • The findings highlight a potential gap in identifying children with moderate lead exposure.

Conclusions:

  • There is evidence suggesting underreporting of elevated BLLs in young children in Georgia.
  • Further investigation is recommended to address underreporting.
  • Improved identification and intervention are crucial for protecting children from lead poisoning risks.