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Australian Burden of Disease Study: methods and supplementary material 2015
Australian Burden of Disease Study: methods and supplementary material 2015
Publication
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Topic: Burden of disease
Citation
AIHW
Australian Institute of Health and Welfare (2019) Australian Burden of Disease Study: methods and supplementary material 2015, AIHW, Australian Government, accessed 28 April 2024.
APA
Australian Institute of Health and Welfare. (2019). Australian Burden of Disease Study: methods and supplementary material 2015. Canberra: AIHW.
MLA
Australian Institute of Health and Welfare. Australian Burden of Disease Study: methods and supplementary material 2015. AIHW, 2019.
Vancouver
Australian Institute of Health and Welfare. Australian Burden of Disease Study: methods and supplementary material 2015. Canberra: AIHW; 2019.
Harvard
Australian Institute of Health and Welfare 2019, Australian Burden of Disease Study: methods and supplementary material 2015, AIHW, Canberra.
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This document provides a detailed description of the methods used to derive the fatal and non-fatal burden of disease (using the disability-adjusted life years, years lived with disability and years of life lost measures) for the Australian population for 2015, 2011 and 2003, as well as estimates of how much of the burden can be attributed to various risk factors. This report is targeted at those seeking to further understand results provided in the Australian Burden of Disease Study 2015.
This accompanies the Australian Burden of Disease Study: impact and causes of illness and death in Australia 2015 report.
- ISBN: 978-1-76054-544-4 (PDF) 978-1-76054-545-1 (PRINT)
- Cat. no: BOD 23
- Pages: 268
Findings from this report:
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More comprehensive list of diseases and risk factors used for estimation tailored to suit the Australian context
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New data sources for many diseases and greater use of linked data
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Overall, 48% of the disease and injury non-fatal burden estimates were revised due to improvements in data and methods
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Use of direct Australian evidence for some risk factors to determine the proportion of disease due to the risk factor