Using spatial epidemiology as a tool to better understand influenza-like illnesses

Influenza is a population health issue in Canada, with an annual infection rate of 10-25% of the population. The purpose of this thesis was to analyze influenza-like illnesses (ILI) from 2004-05 through to 2008-09, both spatially and temporally, throughout the province of Manitoba. The analysis...

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Bibliographic Details
Main Author: Rush-Sirski, Andrea
Other Authors: Driedger, S. Michelle (Community Health Sciences)
Published: 2013
Subjects:
ILI
Online Access:http://hdl.handle.net/1993/22121
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spelling ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-221212014-01-31T03:39:05Z Using spatial epidemiology as a tool to better understand influenza-like illnesses Rush-Sirski, Andrea Driedger, S. Michelle (Community Health Sciences) Green, Chris (Community Health Sciences) Katz, Alan (Community Health Sciences) Styles, Carol (Winnipeg Regional Health Authority) ILI spatial epidemiology determinants health Manitoba districts clusters Influenza is a population health issue in Canada, with an annual infection rate of 10-25% of the population. The purpose of this thesis was to analyze influenza-like illnesses (ILI) from 2004-05 through to 2008-09, both spatially and temporally, throughout the province of Manitoba. The analysis used a framework specific to spatial analysis, and incorporated the principles of population health and ecological frameworks. The underlying objectives of the research were to better understand the patterns of ILI diagnoses as well as the characteristics of those diagnosed. Maps were created to show the results from various perspectives and negative binomial regression analysis was used to test which, if any, of the chosen variables were significant. Based on this research, one could conclude that although clusters of ILI do exist in Manitoba, a clear relationship does not exist between the determinants of health and ILI. 2013-08-28T15:48:49Z 2013-08-28T15:48:49Z 2013-08-28 http://hdl.handle.net/1993/22121
collection NDLTD
sources NDLTD
topic ILI
spatial
epidemiology
determinants
health
Manitoba
districts
clusters
spellingShingle ILI
spatial
epidemiology
determinants
health
Manitoba
districts
clusters
Rush-Sirski, Andrea
Using spatial epidemiology as a tool to better understand influenza-like illnesses
description Influenza is a population health issue in Canada, with an annual infection rate of 10-25% of the population. The purpose of this thesis was to analyze influenza-like illnesses (ILI) from 2004-05 through to 2008-09, both spatially and temporally, throughout the province of Manitoba. The analysis used a framework specific to spatial analysis, and incorporated the principles of population health and ecological frameworks. The underlying objectives of the research were to better understand the patterns of ILI diagnoses as well as the characteristics of those diagnosed. Maps were created to show the results from various perspectives and negative binomial regression analysis was used to test which, if any, of the chosen variables were significant. Based on this research, one could conclude that although clusters of ILI do exist in Manitoba, a clear relationship does not exist between the determinants of health and ILI.
author2 Driedger, S. Michelle (Community Health Sciences)
author_facet Driedger, S. Michelle (Community Health Sciences)
Rush-Sirski, Andrea
author Rush-Sirski, Andrea
author_sort Rush-Sirski, Andrea
title Using spatial epidemiology as a tool to better understand influenza-like illnesses
title_short Using spatial epidemiology as a tool to better understand influenza-like illnesses
title_full Using spatial epidemiology as a tool to better understand influenza-like illnesses
title_fullStr Using spatial epidemiology as a tool to better understand influenza-like illnesses
title_full_unstemmed Using spatial epidemiology as a tool to better understand influenza-like illnesses
title_sort using spatial epidemiology as a tool to better understand influenza-like illnesses
publishDate 2013
url http://hdl.handle.net/1993/22121
work_keys_str_mv AT rushsirskiandrea usingspatialepidemiologyasatooltobetterunderstandinfluenzalikeillnesses
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