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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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 |
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DOAJ |
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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.
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https://ijpds.org/article/view/740 |
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