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The Utility of Exploratory Spatial Data Analysis in the Study of Tuberculosis Incidences in an Urban Canadian Population

Bibliographic Data

ID14701321
AuthorsSuzana Dragioevio (Simon Fraser University, corresponding author), Nadine Schuurman (0000-0003-1362-224X, Simon Fraser University), J Fitzgerald (Vancouver General Hospital), J Mark FitzGerald (0000-0002-5367-5226, Vancouver General Hospital)
Year2004
Volume39
Issue2
Pages29-39
Publication date2004-06-01
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/6338-8m7x-4h12-30t9
OpenAlexW2021874750
LanguageEN
Citations received3
References cited30

Human health is a key determinant of individual quality of life and effective national economic development. Public health management and disease control are important responsibilities for governments and decision makers. In this study, a GIS-based exploratory spatial data analysis (ESDA) process is used to provide insights into the demographic factors associated with incidences of Mycobacterium tuberculosis (TB) in the Greater Vancouver Regional District (GVRD), British Columbia, Canada. The data set is for the period 1995-1999 and includes variables on vital demographics and epidemiological information, together with postal code and genetic composition of TB. The missing observations in the data set and the issue of confidentiality limited the choice of analytical methods. The main objectives of this study were to (1) elaborate the GIS-based ESDA process to explore TB incidences in the GVRD, (2) integrate factor analysis and cluster analysis into the ESDA process to discover and interpret the underlying demographic factors associated with TB, and (3) highlight the shortcomings in data collection procedures for epidemiological and health research

Cartography · Confidentiality · Data collection · Data science · Environmental health · Geographic information system · Geography · Pathology · Population · Public health · Statistics · Tuberculosis · Computer Science · Data-Driven Disease Surveillance · Geographic Information Systems Studies · Medicine · Spatial and Panel Data Analysis · Epidemiology

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Citations per year0.14
Citation span2005 - 2016 (12)
Highly citedNo

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