Chinnaswamy, AK and Balisane, H and Nguyen, TQ and Naguib, RNG and Trodd, N and Marshall, IM and Yaacob, N and Santos, GN and Vallar, EA and Galvez, MCD and Shaker, MH and Wickramasinghe, N and Ton, TN (2015) Data Quality Issues in the GIS Modelling of Air Pollution and Cardiovascular Mortality in Bangalore. International Journal of Information Quality, 4 (1). pp. 64-81. ISSN 1751-0457
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Abstract
Cardiovascular disease (CVD) is the world’s number one cause of
mortality. Research in recent years has begun to illustrate a significant association between CVD and air pollution. As most of these studies employed traditional statistics, cross-sectional or meta-analysis methods, a study undertaken by the authors was designed to investigate how a geographical information system (GIS) could be used to develop a more efficient spatio-temporal method of analysis than the currently existing methods mainly based on statistical inference. Using Bangalore, India, as a case study, demographic, environmental and CVD mortality data was sought from the city. However, critical deficiencies in the quality of the environmental data and mortality records were identified and quantified. This paper discusses the shortcomings in the quality of mortality data, together with the development of a framework based on WHO guidelines to improve the defects, henceforth considerably improving data quality.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | Copyright Inderscience Publishers. Originally published at http://www.inderscience.com/jhome.php?jcode=ijiq Full cite: Chinnaswamy, A. K., Balisane, H., Nguyen, Q. T., Naguib, R. N., Trodd, N., Marshall, I. M., ... & Shaker, M. H. (2015). Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore. International Journal of Information Quality, 4(1), 64-81. |
| Keywords: | data quality; information quality; air pollution; cardiovascular disease; cardiovascular mortality; Bangalore; India; geographical information systems; GIS |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Raouf Naguib |
| Date Deposited: | 03 Jun 2016 11:24 |
| Last Modified: | 12 Jan 2018 02:25 |
| URI: | https://hira.hope.ac.uk/id/eprint/1393 |
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