|
Activity Number:
|
291
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
| Abstract - #310178 |
|
Title:
|
Targeting Areas at Risk for Childhood Lead Poisoning
|
|
Author(s):
|
Margaret Conomos*+ and Warren Strauss and Tim Pivetz and Jyothi Nagaraja and Elizabeth Sloan and Rona Boehm and Michael Schlatt and Darlene Wells and Michele Morara and Bruce Buxton and Barry D. Nussbaum and Heather Case
|
|
Companies:
|
U.S. Environmental Protection Agency and Battelle and Battelle and Battelle and Battelle and Battelle and Battelle and Battelle and Battelle and Battelle and U.S. Environmental Protection Agency and U.S. Environmental Protection Agency
|
|
Address:
|
1200 Pennsylvania Avenue, NW, Washington, DC, 20460,
|
|
Keywords:
|
childhood lead poisoning ; targeting geographic areas ; visualization tool ; risk assessment ; statistical modeling ; GLMM
|
|
Abstract:
|
This pilot study seeks to develop statistical models to predict risk of childhood lead poisoning within specified geographic areas, based on a combination of demographic, environmental, and programmatic information sources. Exposure factors associated with childhood lead poisoning were investigated within census tracts for a community-focused set of Models in Massachusetts, as well as within counties across the US in a series of National Models. Aggregated summary measures, geometric means, and proportions of children screened for lead poisoning within defined geographic areas are being used as response variables in the statistical models. These summary measures are reported at 3-month intervals over several yearly time periods within each geographic area, allowing EPA to assess how the risk of childhood lead poisoning changes over time using a Generalized Linear Mixed Modeling Approach.
|