Jione, SIF and Norman, P orcid.org/0000-0002-6211-1625 (2023) Harmonising Incompatible Datasets to Enable GIS Use to Study Non-communicable Diseases in Tonga. Applied Spatial Analysis and Policy, 16 (1). pp. 33-62. ISSN 1874-4621
Abstract
We investigated the use of geographic information systems (GIS) to study the prevalence of non-communicable diseases (NCDs) in association with area deprivation within Tongatapu, the largest island in Tonga. This is a case study to determine what is possible to achieve since various data issues influenced by institutional and organizational barriers exist, affecting data integration and GIS use. A data conversion framework was developed using geographic conversion tables (GCTs) to process existing data into a compatible format and create new geographies to analyse the prevalence of NCDs and area deprivation across different levels of geography. Area deprivation was higher in the rural district and was associated with the prevalence of NCDs. However, at lower levels of geography, the distribution and patterns of NCDs, and area deprivation were unclear. This was influenced by the methods of data collection, recording and dissemination. There is a need for a national action plan outlining the standard operating procedures for all stakeholders to adhere to, and thereby produce and disseminate comprehensive, reliable, and high-quality data. Otherwise, data will be collected for basic reporting but impractical for sophisticated analysis and research. We suggest an investigation into dasymetric mapping to disaggregate population data and develop automating processes for large national datasets.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Geographic Information Systems; Area deprivation; Noncommunicable diseases; Geographic conversion tables; Tonga |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Aug 2022 09:26 |
Last Modified: | 09 Mar 2023 14:21 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/s12061-022-09466-y |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189583 |