Literature DB >> 11171530

Use of geographic information system technology to aid Health Department decision making about childhood lead poisoning prevention activities.

D B Reissman1, F Staley, G B Curtis, R B Kaufmann.   

Abstract

The Centers for Disease Control and Prevention recommend that local public health agencies use local data to identify children at risk for lead exposure to ensure that they receive preventive services. The objective of this study was to demonstrate the usefulness of a geographic information system (GIS) in identifying children at risk for lead exposure. We conducted a descriptive study, using GIS technology, of the blood lead (BPb) levels and residential location of at-risk children screened for lead exposure. "At-risk children" were defined as those children living in housing built before 1950 or in an area with a high proportion of older housing. The study was conducted in Jefferson County, Kentucky, USA. Participants were the cohort of children born in 1995 and screened from 1996 through 1997, and children younger than age 7 years who were screened from 1994 through 1998. Outcome measures were the BPb level and residential location (address or target zone) of at-risk children screened from 1996 through 1997, and the number and location of homes where more than one child had been poisoned by lead from 1994 through 1998. The proportion of children screened who live within zones targeted for universal screening varied from 48% to 53%, while only 50% of the at-risk children in the entire county were screened. Between 1994 and 1998, 79 homes housed 35% of the 524 children with lead poisoning. These housing units were prioritized for lead-hazard remediation. Significant numbers of at-risk children throughout the county were not being tested for lead exposure, even in prioritized areas. GIS can be very useful to health departments in planning lead exposure screening strategies and measuring program performance.

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Year:  2001        PMID: 11171530      PMCID: PMC1242056          DOI: 10.1289/ehp.0110989

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  8 in total

1.  Reassessment of lead exposure in New Jersey using GIS technology.

Authors:  W G Guthe; R K Tucker; E A Murphy; R England; E Stevenson; J C Luckhardt
Journal:  Environ Res       Date:  1992-12       Impact factor: 6.498

2.  Screening for lead exposure using a geographic information system.

Authors:  D Wartenberg
Journal:  Environ Res       Date:  1992-12       Impact factor: 6.498

3.  Census tract analysis of lead exposure in Rhode Island children.

Authors:  J D Sargent; A Bailey; P Simon; M Blake; M A Dalton
Journal:  Environ Res       Date:  1997       Impact factor: 6.498

4.  Childhood lead poisoning in Massachusetts communities: its association with sociodemographic and housing characteristics.

Authors:  J D Sargent; M J Brown; J L Freeman; A Bailey; D Goodman; D H Freeman
Journal:  Am J Public Health       Date:  1995-04       Impact factor: 9.308

5.  Lead levels in high-risk and low-risk young children in the Minneapolis-St Paul metropolitan area.

Authors:  J Nordin; S Rolnick; E Ehlinger; A Nelson; T Arneson; L Cherney-Stafford; J Griffin
Journal:  Pediatrics       Date:  1998-01       Impact factor: 7.124

6.  Geographic information systems: their use in environmental epidemiologic research.

Authors:  M F Vine; D Degnan; C Hanchette
Journal:  Environ Health Perspect       Date:  1997-06       Impact factor: 9.031

7.  Condition and type of housing as an indicator of potential environmental lead exposure and pediatric blood lead levels.

Authors:  C S Clark; R L Bornschein; P Succop; S S Que Hee; P B Hammond; B Peace
Journal:  Environ Res       Date:  1985-10       Impact factor: 6.498

8.  Exposure of the U.S. population to lead, 1991-1994.

Authors:  J L Pirkle; R B Kaufmann; D J Brody; T Hickman; E W Gunter; D C Paschal
Journal:  Environ Health Perspect       Date:  1998-11       Impact factor: 9.031

  8 in total
  18 in total

1.  Relation between housing age, housing value, and childhood blood lead levels in children in Jefferson County, Ky.

Authors:  Dennis Y Kim; Forrest Staley; Gerald Curtis; Sharunda Buchanan
Journal:  Am J Public Health       Date:  2002-05       Impact factor: 9.308

2.  Using GIS for administrative decision-making in a local public health setting.

Authors:  Devon M Taylor; Valerie A Yeager; Claude Ouimet; Nir Menachemi
Journal:  Public Health Rep       Date:  2012 May-Jun       Impact factor: 2.792

3.  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

4.  The important health impact of where a child lives: neighborhood characteristics and the burden of lead poisoning.

Authors:  Patrick M Vivier; Marissa Hauptman; Sherry H Weitzen; Scott Bell; Daniela N Quilliam; John R Logan
Journal:  Matern Child Health J       Date:  2011-11

5.  Childhood lead poisoning from domestic products in China: A case study with implications for practice, education, and policy.

Authors:  Ju Wang; Ayah El-Fahmawi; Chonghuai Yan; Jianghong Liu
Journal:  Public Health Nurs       Date:  2019-08-19       Impact factor: 1.462

6.  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 7.  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

8.  Geomatics in injury prevention: the science, the potential and the limitations.

Authors:  M D Cusimano; M Chipman; R H Glazier; C Rinner; S P Marshall
Journal:  Inj Prev       Date:  2007-02       Impact factor: 2.399

9.  Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US).

Authors:  N Krieger; J T Chen; P D Waterman; M-J Soobader; S V Subramanian; R Carson
Journal:  J Epidemiol Community Health       Date:  2003-03       Impact factor: 3.710

10.  Should the Centers for Disease Control and Prevention's childhood lead poisoning intervention level be lowered?

Authors:  Susan M Bernard
Journal:  Am J Public Health       Date:  2003-08       Impact factor: 9.308

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