Literature DB >> 12766217

Using geographic information systems to assess risk for elevated blood lead levels in children.

James R Roberts1, Thomas C Hulsey, Gerald B Curtis, J Routt Reigart.   

Abstract

OBJECTIVES: Targeted screening for childhood lead poisoning depends on assessment of risk factors including housing age. Using a geographic information system (GIS), we aim to determine high-risk regions in Charleston County, South Carolina, to assist public health officials in developing targeted lead-screening.
METHODS: Properties built before 1978 were geocoded (assigned latitude and longitude coordinates) from tax assessor data. Addresses of Charleston County children who have been screened for lead poisoning were also geocoded. Locations of all housing, lead poisoning cases, and negative screens were created as separate map layers. Prevalence ratios of lead poisoning cases were calculated, as were relative risks for each category of housing.
RESULTS: Maps of Charleston County were produced showing the location of old housing, where screening took place, and where cases were found. One thousand forty-four cases were identified. Twenty percent of children living in pre-1950 homes had elevated blood lead levels (EBLL). Children living in pre-1950 housing were 3.9 times more likely to have an EBLL than children living in post-1977 housing. There was no difference in risk of living in a 1950-1977 home vs. a post-1977 home. A large number of cases were also found in an area of newer houses, but near a potential point source. Eighty-two percent of all screens were from children in post-1977 homes.
CONCLUSIONS: Children living in pre-1950 housing were at higher risk for lead poisoning. GIS is useful in identifying areas of risk and unexpected clustering from potential point sources and may be useful for public health officials in developing targeted screening programs.

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Year:  2003        PMID: 12766217      PMCID: PMC1497528          DOI: 10.1093/phr/118.3.221

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  12 in total

1.  High-intensity targeted screening for elevated blood lead levels among children in 2 inner-city Chicago communities.

Authors:  Timothy A Dignam; Anne Evens; Eduard Eduardo; Shokufeh M Ramirez; Kathleen L Caldwell; Nikki Kilpatrick; Gary P Noonan; W Dana Flanders; Pamela A Meyer; Michael A McGeehin
Journal:  Am J Public Health       Date:  2004-11       Impact factor: 9.308

2.  Comparing lead poisoning risk assessment methods: census block group characteristics vs. zip codes as predictors.

Authors:  Stan A Kaplowitz; Harry Perlstadt; Harry Perlstadt; Lori A Post
Journal:  Public Health Rep       Date:  2010 Mar-Apr       Impact factor: 2.792

Review 3.  A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Authors:  A K Lyseen; C Nøhr; E M Sørensen; O Gudes; E M Geraghty; N T Shaw; C Bivona-Tellez
Journal:  Yearb Med Inform       Date:  2014-08-15

4.  Potential sources and racial disparities in the residential distribution of soil arsenic and lead among pregnant women.

Authors:  Harley T Davis; C Marjorie Aelion; Jihong Liu; James B Burch; Bo Cai; Andrew B Lawson; Suzanne McDermott
Journal:  Sci Total Environ       Date:  2016-02-18       Impact factor: 7.963

5.  Association of blood lead levels in children 0-72 months with living in Mid-Appalachia: a semi-ecologic study.

Authors:  R Constance Wiener; Richard J Jurevic
Journal:  Rural Remote Health       Date:  2016-04-12       Impact factor: 1.759

6.  Immigration and risk of childhood lead poisoning: findings from a case control study of New York City children.

Authors:  Parisa Tehranifar; Jessica Leighton; Amy H Auchincloss; Andrew Faciano; Howard Alper; Andrea Paykin; Songmei Wu
Journal:  Am J Public Health       Date:  2007-11-29       Impact factor: 9.308

7.  Changes in blood lead levels associated with use of chloramines in water treatment systems.

Authors:  Marie Lynn Miranda; Dohyeong Kim; Andrew P Hull; Christopher J Paul; M Alicia Overstreet Galeano
Journal:  Environ Health Perspect       Date:  2006-11-07       Impact factor: 9.031

8.  Using a geographic information system to improve childhood lead-screening efforts.

Authors:  Robert Graff
Journal:  Prev Chronic Dis       Date:  2013-06-13       Impact factor: 2.830

Review 9.  Using geographic information systems for exposure assessment in environmental epidemiology studies.

Authors:  John R Nuckols; Mary H Ward; Lars Jarup
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

10.  A framework for widespread replication of a highly spatially resolved childhood lead exposure risk model.

Authors:  Dohyeong Kim; M Alicia Overstreet Galeano; Andrew Hull; Marie Lynn Miranda
Journal:  Environ Health Perspect       Date:  2008-08-14       Impact factor: 9.031

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