Using GIS-Based Models to Protect Children from Lead Exposure

Douglas Hastings and Marie Lynn Miranda ()
Additional contact information
Douglas Hastings: Duke University
Marie Lynn Miranda: Duke University

Chapter Chapter 7 in Community-Based Operations Research, 2012, pp 173-187 from Springer

Abstract: 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.

Keywords: Geographic Information System; Lead Exposure; Blood Lead Level; Lead Poisoning; Lead Model (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-0806-2_7

Ordering information: This item can be ordered from
http://www.springer.com/9781461408062

DOI: 10.1007/978-1-4614-0806-2_7

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().