Literature DB >> 9288494

Geographic information systems: their use in environmental epidemiologic research.

M F Vine1, D Degnan, C Hanchette.   

Abstract

Advances in geographic information system (GIS) technology, developed by geographers, provide new opportunities for environmental epidemiologists to study associations between environmental exposures and the spatial distribution of disease. A GIS is a powerful computer mapping and analysis technology capable of integrating large quantities of geographic (spatial) data as well as linking geographic with nongeographic data (e.g., demographic information, environmental exposure levels). In this paper we provide an overview of some of the capabilities and limitations of GIS technology; we illustrate, through practical examples, the use of several functions of a GIS including automated address matching, distance functions, buffer analysis, spatial query, and polygon overlay; we discuss methods and limitations of address geocoding, often central to the use of a GIS in environmental epidemiologic research; and we suggest ways to facilitate its use in future studies. Collaborative efforts between epidemiologists, biostatisticians, environmental scientists, GIS specialists, and medical geographers are needed to realize the full potential of GIS technology in environmental health research and may lead to innovative solutions to complex questions.

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Year:  1997        PMID: 9288494      PMCID: PMC1470069          DOI: 10.1289/ehp.97105598

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


  12 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.  Epidemiologic research using existing databases of environmental measures.

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Journal:  Arch Environ Health       Date:  1990 Sep-Oct

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Authors:  S Greenland; H Morgenstern
Journal:  Int J Epidemiol       Date:  1989-03       Impact factor: 7.196

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Authors:  I G LEMBERSKII
Journal:  Probl Tuberk       Date:  1951 Sep-Oct

5.  Health based geographical information systems: their potential examined in the light of existing data sources.

Authors:  L Twigg
Journal:  Soc Sci Med       Date:  1990       Impact factor: 4.634

6.  Environmental risk factors for Lyme disease identified with geographic information systems.

Authors:  G E Glass; B S Schwartz; J M Morgan; D T Johnson; P M Noy; E Israel
Journal:  Am J Public Health       Date:  1995-07       Impact factor: 9.308

Review 7.  Ecologic studies in epidemiology: concepts, principles, and methods.

Authors:  H Morgenstern
Journal:  Annu Rev Public Health       Date:  1995       Impact factor: 21.981

Review 8.  Invited commentary: ecologic studies--biases, misconceptions, and counterexamples.

Authors:  S Greenland; J Robins
Journal:  Am J Epidemiol       Date:  1994-04-15       Impact factor: 4.897

9.  Blood lead levels in the US population. Phase 1 of the Third National Health and Nutrition Examination Survey (NHANES III, 1988 to 1991)

Authors:  D J Brody; J L Pirkle; R A Kramer; K M Flegal; T D Matte; E W Gunter; D C Paschal
Journal:  JAMA       Date:  1994-07-27       Impact factor: 56.272

10.  Identification and characterization of populations living near high-voltage transmission lines: a pilot study.

Authors:  D Wartenberg; M Greenberg; R Lathrop
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

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  45 in total

1.  Health conditions and residential concentration of poverty: a study in Rio de Janeiro, Brazil.

Authors:  C L Szwarcwald; F I Bastos; C Barcellos; M F Pina; M A Esteves
Journal:  J Epidemiol Community Health       Date:  2000-07       Impact factor: 3.710

2.  Environmental and ecological determinants of West Nile virus occurrence in horses in North Dakota, 2002.

Authors:  M Ndiva Mongoh; M L Khaitsa; N W Dyer
Journal:  Epidemiol Infect       Date:  2006-06-06       Impact factor: 2.451

3.  The role of ethnicity, sex, and language on delay to hospital arrival for acute ischemic stroke.

Authors:  Melinda A Smith; Lynda D Lisabeth; Frank Bonikowski; Lewis B Morgenstern
Journal:  Stroke       Date:  2010-03-25       Impact factor: 7.914

4.  GIS-EpiLink: a spatial search tool for linking environmental and health data.

Authors:  F Benjamin Zhan; Jean D Brender; Yaowen Han; Lucina Suarez; Peter H Langlois
Journal:  J Med Syst       Date:  2006-10       Impact factor: 4.460

5.  GIS and multiple-criteria evaluation for the optimisation of tsetse fly eradication programmes.

Authors:  Elias Symeonakis; Tim Robinson; Nick Drake
Journal:  Environ Monit Assess       Date:  2006-10-21       Impact factor: 2.513

6.  Potential selection bias associated with using geocoded birth records for epidemiologic research.

Authors:  Sandie Ha; Hui Hu; Liang Mao; Dikea Roussos-Ross; Jeffrey Roth; Xiaohui Xu
Journal:  Ann Epidemiol       Date:  2016-02-04       Impact factor: 3.797

Review 7.  Disproportionate proximity to environmental health hazards: methods, models, and measurement.

Authors:  Jayajit Chakraborty; Juliana A Maantay; Jean D Brender
Journal:  Am J Public Health       Date:  2011-08-11       Impact factor: 9.308

8.  A geographical population analysis of dental trauma in school-children aged 12 and 15 in the city of Curitiba-Brazil.

Authors:  Max L Carvalho; Samuel J Moysés; Roberto E Bueno; Silvia Shimakura; Simone T Moysés
Journal:  BMC Health Serv Res       Date:  2010-07-13       Impact factor: 2.655

9.  Environmental justice: a contrary finding for the case of high-voltage electric power transmission lines.

Authors:  Daniel Wartenberg; Michael R Greenberg; Gerald Harris
Journal:  J Expo Sci Environ Epidemiol       Date:  2009-04-08       Impact factor: 5.563

10.  Sustained hyperglycemia among patients with diabetes: what matters when action is needed?

Authors:  Jennifer E Lafata; Elizabeth A Dobie; George W Divine; Marianne E Ulcickas Yood; Bruce D McCarthy
Journal:  Diabetes Care       Date:  2009-08       Impact factor: 19.112

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