Where it’s at - linking data geographically.

Introduction Most public health-related concepts and outcomes can be defined as to their geographic location. The surroundings often have a strong influence or interactions with studied phenomena. For this reason a good understand and accurate geographic placement, linking, and aggregation of studi...

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Main Author: Peter Gozdyra
Format: Article
Language:English
Published: Swansea University 2018-08-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/740
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spelling doaj-f717876ebfdd462fba1edc0cb78dfddb2020-11-24T21:47:07ZengSwansea UniversityInternational Journal of Population Data Science2399-49082018-08-013410.23889/ijpds.v3i4.740Where it’s at - linking data geographically.Peter Gozdyra Introduction Most public health-related concepts and outcomes can be defined as to their geographic location. The surroundings often have a strong influence or interactions with studied phenomena. For this reason a good understand and accurate geographic placement, linking, and aggregation of studied concepts is a critical yet often underestimated procedure. Objectives and Approach The main objectives of this presentation are: 1) an easy to understand review and explanation of geographic delineation markers in common healthcare databases, and 2) ways and pitfalls of geographic data linkages. Common point- and area-defined databases will be described. Nuances of ‘point-to-area’, ‘area-to-area’ linkages will be discussed, with additional explanations of scale and zone effects. Examples of common linkages between the following common spatial delineators will be explained: Postal Code Conversion File (PCCF), small area Canada Census units, common health system geographies (e.g. sub-regions, LHINs). Frequently committed errors and best practices in geographic data linkages will be discussed. Results Examples of the influence of various methods of geographic data linkages on study simulated outcomes will be shown. Conclusion/Implications Improper geographic linkage procedures can lead to incorrect study results. Enhancing the knowledge of geographic concepts in public health research and promotion of correct procedures in spatial placements, linkages and aggregation are the main take home messages of this presentation. https://ijpds.org/article/view/740
collection DOAJ
language English
format Article
sources DOAJ
author Peter Gozdyra
spellingShingle Peter Gozdyra
Where it’s at - linking data geographically.
International Journal of Population Data Science
author_facet Peter Gozdyra
author_sort Peter Gozdyra
title Where it’s at - linking data geographically.
title_short Where it’s at - linking data geographically.
title_full Where it’s at - linking data geographically.
title_fullStr Where it’s at - linking data geographically.
title_full_unstemmed Where it’s at - linking data geographically.
title_sort where it’s at - linking data geographically.
publisher Swansea University
series International Journal of Population Data Science
issn 2399-4908
publishDate 2018-08-01
description Introduction Most public health-related concepts and outcomes can be defined as to their geographic location. The surroundings often have a strong influence or interactions with studied phenomena. For this reason a good understand and accurate geographic placement, linking, and aggregation of studied concepts is a critical yet often underestimated procedure. Objectives and Approach The main objectives of this presentation are: 1) an easy to understand review and explanation of geographic delineation markers in common healthcare databases, and 2) ways and pitfalls of geographic data linkages. Common point- and area-defined databases will be described. Nuances of ‘point-to-area’, ‘area-to-area’ linkages will be discussed, with additional explanations of scale and zone effects. Examples of common linkages between the following common spatial delineators will be explained: Postal Code Conversion File (PCCF), small area Canada Census units, common health system geographies (e.g. sub-regions, LHINs). Frequently committed errors and best practices in geographic data linkages will be discussed. Results Examples of the influence of various methods of geographic data linkages on study simulated outcomes will be shown. Conclusion/Implications Improper geographic linkage procedures can lead to incorrect study results. Enhancing the knowledge of geographic concepts in public health research and promotion of correct procedures in spatial placements, linkages and aggregation are the main take home messages of this presentation.
url https://ijpds.org/article/view/740
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