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Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore

Chinnaswamy, AK, Balisane, H, Nguyen, QT, Naguib, RNG, Trodd, N, Marshall, IM, Yaacob, N, Santos, GN, Vallar, EA, Galvez, MCD, Shaker, MH, 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, vol. 4, no. 1, pp. 64-81, doi: 10.1504/IJIQ.2015.071690.


Title Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore
Author(s) Chinnaswamy, AK
Balisane, H
Nguyen, QT
Naguib, RNG
Trodd, N
Marshall, IM
Yaacob, N
Santos, GN
Vallar, EA
Galvez, MCD
Shaker, MH
Wickramasinghe, N
Ton, TN
Journal name International journal of information quality
Volume number 4
Issue number 1
Start page 64
End page 81
Total pages 18
Publisher Inderscience Publishers
Place of publication Olney, Eng.
Publication date 2015
ISSN 1751-0457
1751-0465
Keyword(s) Data quality
Information quality
Air pollution
Cardiovascular disease
Cardiovascular mortality
Bangalore
India
Geographical information systems
GIS
Demographics
Mortality data
Summary 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.
Language eng
DOI 10.1504/IJIQ.2015.071690
Field of Research 111799 Public Health and Health Services not elsewhere classified
0804 Data Format
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Inderscience Publishers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085406

Document type: Journal Article
Collection: Faculty of Health
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