Literature DB >> 22590806

Geozones: an area-based method for analysis of health outcomes.

Paul A Peters1, Lisa N Oliver, Gisèle M Carrière.   

Abstract

BACKGROUND: Administrative datasets often lack information about individual characteristics such as Aboriginal identity and income. However, these datasets frequently contain individual-level geographic information (such as postal codes). This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization. DATA AND METHODS: With aggregate 2006 Census information at the Dissemination Area level, population concentration and exposure for characteristics of interest are analysed using threshold tables and concentration curves. Examples are presented for the Aboriginal population and for income gradients.
RESULTS: The patterns of concentration of First Nations people, Métis, and Inuit differ from those of non-Aboriginal people and between urban and rural areas. The spatial patterns of concentration and exposure by income gradients also differ.
INTERPRETATION: The Geozones method is a relatively easy way of identifying areas with lower and higher concentrations of subgroups. Because it is ecological-based, Geozones has the inherent strengths and weaknesses of this approach.

Entities:  

Mesh:

Year:  2012        PMID: 22590806

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  2 in total

Review 1.  Suicide in circumpolar regions: an introduction and overview.

Authors:  T Kue Young; Boris Revich; Leena Soininen
Journal:  Int J Circumpolar Health       Date:  2015-03-04       Impact factor: 1.228

2.  Disparities amidst plenty: a health portrait of Indigenous peoples in circumpolar regions.

Authors:  T Kue Young; Ann Ragnhild Broderstad; Yury A Sumarokov; Peter Bjerregaard
Journal:  Int J Circumpolar Health       Date:  2020-12       Impact factor: 1.228

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.