Literature DB >> 17023399

Using geographical information systems and spatial microsimulation for the analysis of health inequalities.

Dimitris Ballas1, Graham Clarke, Danny Dorling, Jan Rigby, Ben Wheeler.   

Abstract

The paper presents a spatial microsimulation approach to the analysis of health inequalities. A dynamic spatial microsimulation model of Britain, under development at the Universities of Leeds and Sheffield, uses data from the censuses of 1971, 1981 and 1991 and the British Household Panel Survey to simulate urban and regional populations in Britain. Geographical information systems and spatial microsimulation are used for the analysis of health inequalities in British regions in a 30 year simulation. The interdependencies between socio-economic characteristics and health variables such as limiting long-term illness are discussed. One of the innovative features of the model is the estimation of variables such as household income at the small area level, which can then be used to classify individuals. The health situation of different simulated individuals in different areas is investigated and the role of socio-economic characteristics in determining health is evaluated.

Mesh:

Year:  2006        PMID: 17023399     DOI: 10.1177/1460458206061217

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  7 in total

1.  Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).

Authors:  Adam Drewnowski; Anju Aggarwal; Andrea Cook; Orion Stewart; Anne Vernez Moudon
Journal:  Prev Med       Date:  2015-12-03       Impact factor: 4.018

2.  Association of Socio-Environmental Determinants with Diabetes Prevalence in the Athens Metropolitan Area, Greece: A Spatial Analysis.

Authors:  Antigoni Faka; Christos Chalkias; Diego Montano; Ekavi N Georgousopoulou; Anestis Tripitsidis; Efi Koloverou; Dimitris Tousoulis; Christos Pitsavos; Demosthenes B Panagiotakos
Journal:  Rev Diabet Stud       Date:  2018-03-10

3.  SimAlba: A Spatial Microsimulation Approach to the Analysis of Health Inequalities.

Authors:  Malcolm Campbell; Dimitris Ballas
Journal:  Front Public Health       Date:  2016-10-21

4.  Internet use and health: Connecting secondary data through spatial microsimulation.

Authors:  Ulrike Deetjen; John A Powell
Journal:  Digit Health       Date:  2016-09-02

5.  MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities.

Authors:  Phil Symonds; Emma Hutchinson; Andrew Ibbetson; Jonathon Taylor; James Milner; Zaid Chalabi; Michael Davies; Paul Wilkinson
Journal:  Sci Total Environ       Date:  2019-08-29       Impact factor: 7.963

6.  Inequalities in Health: Methodological Approaches to Spatial Differentiation.

Authors:  Dana Hübelová; Martina Kuncová; Hana Vojáčková; Jitka Coufalová; Alice Kozumplíková; Francois Stefanus Lategan; Beatrice-Elena Chromková Manea
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

Review 7.  Simulation models for socioeconomic inequalities in health: a systematic review.

Authors:  Niko Speybroeck; Carine Van Malderen; Sam Harper; Birgit Müller; Brecht Devleesschauwer
Journal:  Int J Environ Res Public Health       Date:  2013-11-04       Impact factor: 3.390

  7 in total

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