Cancer cluster detection in British Columbia school districts, 1983-1989

A disease cluster is an aggregation of occurrences of a disease. The observa tion of a perceived excess number of similar illnesses is termed disease clustering. Statistical tests for disease clustering investigate if the observed pattern of cases in at least one geographical area could possibly...

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Main Author: Rosychuk, Rhonda Jean
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/5008
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-50082014-03-14T15:40:14Z Cancer cluster detection in British Columbia school districts, 1983-1989 Rosychuk, Rhonda Jean A disease cluster is an aggregation of occurrences of a disease. The observa tion of a perceived excess number of similar illnesses is termed disease clustering. Statistical tests for disease clustering investigate if the observed pattern of cases in at least one geographical area could possibly have happened by chance alone. This pattern may be spatial, temporal, or both. Investigating possible cancer clusters in British Columbia for the period of 1983—1989 inclusive is the objective of this thesis. Whether or not cancer clustering appears near pulp and paper mills within the province is of specific interest. The geographical units upon which our investigation will be based are the B.C. school districts. The variation in size and population demographics among districts requires a cluster detection method which is considerate of the underlying population distribution within the study region. School district population size diversity requires a modification to the Besag and Newell (1991) method. This modification is implemented with B.C. school district data and several possible clusters are detected for various types of cancer. 2009-02-24T20:19:00Z 2009-02-24T20:19:00Z 1994 2009-02-24T20:19:00Z 1994-05 Electronic Thesis or Dissertation http://hdl.handle.net/2429/5008 eng UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]
collection NDLTD
language English
sources NDLTD
description A disease cluster is an aggregation of occurrences of a disease. The observa tion of a perceived excess number of similar illnesses is termed disease clustering. Statistical tests for disease clustering investigate if the observed pattern of cases in at least one geographical area could possibly have happened by chance alone. This pattern may be spatial, temporal, or both. Investigating possible cancer clusters in British Columbia for the period of 1983—1989 inclusive is the objective of this thesis. Whether or not cancer clustering appears near pulp and paper mills within the province is of specific interest. The geographical units upon which our investigation will be based are the B.C. school districts. The variation in size and population demographics among districts requires a cluster detection method which is considerate of the underlying population distribution within the study region. School district population size diversity requires a modification to the Besag and Newell (1991) method. This modification is implemented with B.C. school district data and several possible clusters are detected for various types of cancer.
author Rosychuk, Rhonda Jean
spellingShingle Rosychuk, Rhonda Jean
Cancer cluster detection in British Columbia school districts, 1983-1989
author_facet Rosychuk, Rhonda Jean
author_sort Rosychuk, Rhonda Jean
title Cancer cluster detection in British Columbia school districts, 1983-1989
title_short Cancer cluster detection in British Columbia school districts, 1983-1989
title_full Cancer cluster detection in British Columbia school districts, 1983-1989
title_fullStr Cancer cluster detection in British Columbia school districts, 1983-1989
title_full_unstemmed Cancer cluster detection in British Columbia school districts, 1983-1989
title_sort cancer cluster detection in british columbia school districts, 1983-1989
publishDate 2009
url http://hdl.handle.net/2429/5008
work_keys_str_mv AT rosychukrhondajean cancerclusterdetectioninbritishcolumbiaschooldistricts19831989
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