Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/463
Title: Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Chinnaswamy, Anitha
Balisane, Hewa
Nguyen, Quynh
Naguib, Raouf
Trodd, Nigel
Marshall, Ian
Yaacob, Norlaily
Nonato Santos, Gil
Vallar, Edgar
Galvez, Maria
Shaker, Mohyi
Nghia Ton, Tuan
Keywords: Data Quality
Information Quality
Air Pollution
Cardiovascular Diseases
Cardiovascular Mortality
Bangalore
India
Geographical Information Systems
GIS
Demographics
Mortality Data
Cardiology
Models, Statistical
Statistics
Mortality
Chair of Healthcare Information, Epworth HealthCare, Melbourne, Victoria, Australia
Issue Date: Jan-2015
Publisher: Inderscience Online
Citation: International Journal of Information Quality 4.1 (2015): 64-81.
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.
Description: Not in PubMed.
URI: http://hdl.handle.net/11434/463
DOI: 10.1504/IJIQ.2015.071690
ISSN: 1751-0465
Journal Title: International Journal of Information Quality
Type: Journal Article
Affiliated Organisations: Faculty of Engineering and Computing, Coventry University, UK.
Faculty of Science, Soran University, Kurdistan Regional Government, Iraq.
Faculty of Business, Environment and Society, Coventry University, UK
Type of Clinical Study or Trial: Case reports
Appears in Collections:Health Informatics

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