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dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.otherChinnaswamy, Anitha-
dc.contributor.otherBalisane, Hewa-
dc.contributor.otherNguyen, Quynh-
dc.contributor.otherNaguib, Raouf-
dc.contributor.otherTrodd, Nigel-
dc.contributor.otherMarshall, Ian-
dc.contributor.otherYaacob, Norlaily-
dc.contributor.otherNonato Santos, Gil-
dc.contributor.otherVallar, Edgar-
dc.contributor.otherGalvez, Maria-
dc.contributor.otherShaker, Mohyi-
dc.contributor.otherNghia Ton, Tuan-
dc.identifier.citationInt. J. of Information Quality, 2015; 4(1): 64 - 81en_US
dc.descriptionNot in PubMed.en_US
dc.description.abstractCardiovascular 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.en_US
dc.publisherInderscience Onlineen_US
dc.subjectData Qualityen_US
dc.subjectInformation Qualityen_US
dc.subjectAir Pollutionen_US
dc.subjectCardiovascular Diseasesen_US
dc.subjectCardiovascular Mortalityen_US
dc.subjectGeographical Information Systemsen_US
dc.subjectMortality Dataen_US
dc.subjectModels, Statisticalen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australiaen_US
dc.titleData quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleInternational Journal of Information Qualityen_US
dc.description.affiliatesFaculty of Engineering and Computing, Coventry University, UK.en_US
dc.description.affiliatesFaculty of Science, Soran University, Kurdistan Regional Government, Iraq.en_US
dc.description.affiliatesFaculty of Business, Environment and Society, Coventry University, UKen_US
dc.type.studyortrialCase reportsen_US
Appears in Collections:Health Informatics

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