Code Red: Explaining Average Age of Death in the City of Hamilton

Patrick F. DeLuca; Pavlos S. Kanaroglou; Patrick F. DeLuca; Pavlos S. Kanaroglou

doi:10.3934/publichealth.2015.4.730

AIMS Public Health

2015, Volume 2, Issue 4: 730-745. doi: 10.3934/publichealth.2015.4.730

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Research article Special Issues

Code Red: Explaining Average Age of Death in the City of Hamilton

Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4K1

Received: 02 June 2015 Accepted: 12 November 2015 Published: 17 December 2015

The aim of this study is to identify the underlying factors that explain the average age of death in the City of Hamilton, Ontario, Canada, as identified in the Code Red Series of articles that were published in the city's local newspaper in 2010. Using a combination of data from the Canadian Census, the Government of Ontario and the Canadian Institute for Health Information, factor analysis was performed yielding three factors relating to poverty, working class, and health and aging. In a regression analysis these factors account for 42% of the total variability in the average ages of death observed at the census tract level of geography within the city.
- code red,
- spatial analysis,
- factor analysis,
- Hamilton, poverty
Citation: Patrick F. DeLuca, Pavlos S. Kanaroglou. Code Red: Explaining Average Age of Death in the City of Hamilton[J]. AIMS Public Health, 2015, 2(4): 730-745. doi: 10.3934/publichealth.2015.4.730

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Abstract

The aim of this study is to identify the underlying factors that explain the average age of death in the City of Hamilton, Ontario, Canada, as identified in the Code Red Series of articles that were published in the city's local newspaper in 2010. Using a combination of data from the Canadian Census, the Government of Ontario and the Canadian Institute for Health Information, factor analysis was performed yielding three factors relating to poverty, working class, and health and aging. In a regression analysis these factors account for 42% of the total variability in the average ages of death observed at the census tract level of geography within the city.

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