Literature DB >> 15820583

Zone design for environment and health studies using pre-aggregated data.

Samantha Cockings1, David Martin.   

Abstract

Many environment and health studies employ geographical areas as the units of analysis, either through choice or necessity. The design of these areas can greatly influence any observed spatial relationships or patterns-an effect known as the modifiable areal unit problem. In this paper we identify the phenomena and processes which are typically measured in environment and health studies and present a conceptualisation for their representation as data objects in spatial analysis. We discuss the circumstances under which we find ourselves using areas for representation and outline the application of zone design techniques for the creation of such areas in environment and health studies. An empirical study of the relationship between deprivation and limiting long-term illness in the former county of Avon, UK, is employed to demonstrate the potential usefulness of zone design techniques for creating zones with stable estimates and for exploring the sensitivity of relationships to changes in the zoning system. In particular, we illustrate the inappropriateness of the 1991 Census enumeration district and ward zoning systems for such an analysis and conclude that automatically designed aggregations may be a more appropriate basis for analysis than any pre-existing zoning system.

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Year:  2004        PMID: 15820583     DOI: 10.1016/j.socscimed.2004.11.005

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  25 in total

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2.  How sensitive are multilevel regression findings to defined area of context?: a case study of mammography use in California.

Authors:  Lee R Mobley; Tzy-Mey May Kuo; Linda Andrews
Journal:  Med Care Res Rev       Date:  2008-02-07       Impact factor: 3.929

3.  The spatial epidemiology of trauma: the potential of geographic information science to organize data and reveal patterns of injury and services.

Authors:  Nadine Schuurman; S Morad Hameed; Robert Fiedler; Nathaniel Bell; Richard K Simons
Journal:  Can J Surg       Date:  2008-10       Impact factor: 2.089

4.  Disentangling the relative influence of built and socioeconomic environments on walking: the contribution of areas homogenous along exposures of interest.

Authors:  Mylene Riva; Lise Gauvin; Philippe Apparicio; Jean-Marc Brodeur
Journal:  Soc Sci Med       Date:  2009-09-03       Impact factor: 4.634

5.  Spatiotemporal aggregation for temporally extensive international microdata.

Authors:  Tracy A Kugler; Steven M Manson; Joshua R Donato
Journal:  Comput Environ Urban Syst       Date:  2016-07-30

6.  Constructing Geographic Areas for Cancer Data Analysis: A Case Study on Late-stage Breast Cancer Risk in Illinois.

Authors:  Fahui Wang; Diansheng Guo; Sara McLafferty
Journal:  Appl Geogr       Date:  2012-06-15

7.  Effects of buffer size and shape on associations between the built environment and energy balance.

Authors:  Peter James; David Berrigan; Jaime E Hart; J Aaron Hipp; Christine M Hoehner; Jacqueline Kerr; Jacqueline M Major; Masayoshi Oka; Francine Laden
Journal:  Health Place       Date:  2014-03-07       Impact factor: 4.078

8.  "Spatial Energetics": Integrating Data From GPS, Accelerometry, and GIS to Address Obesity and Inactivity.

Authors:  Peter James; Marta Jankowska; Christine Marx; Jaime E Hart; David Berrigan; Jacqueline Kerr; Philip M Hurvitz; J Aaron Hipp; Francine Laden
Journal:  Am J Prev Med       Date:  2016-08-12       Impact factor: 5.043

9.  Poverty and childhood overweight in California Assembly districts.

Authors:  Adam Drewnowski; Colin Rehm; Chi Kao; Harold Goldstein
Journal:  Health Place       Date:  2008-10-19       Impact factor: 4.078

10.  An integrated framework for the geographic surveillance of chronic disease.

Authors:  Nikolaos Yiannakoulias; Lawrence W Svenson; Donald P Schopflocher
Journal:  Int J Health Geogr       Date:  2009-11-30       Impact factor: 3.918

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