Forecasting Exposure to Occupational Back Pain: 2013 – 2040

dc.contributor.advisorMurray, Christopher J. L.en_US
dc.contributor.authorHeuton, Kyle Richarden_US
dc.date.accessioned2015-09-29T17:55:15Z
dc.date.issued2015-09-29
dc.date.submitted2015en_US
dc.descriptionThesis (Master's)--University of Washington, 2015en_US
dc.description.abstractA new model is proposed and evaluated to produce forecasts to 2040 of exposure to occupational back pain, a risk factor in the Global Burden of Disease 2015 Study’s comparative risk assessment. Summary exposure values are created from the population distribution of exposures for 188 countries, 13 age groups, and both sexes. The model is a Bayesian auto-regressive model with a Leroux continuous auto-regressive prior to smooth over both age groups and location. Global exposure to ergonomic factors that cause occupational back pain decrease for every country and both sexes. All-ages male exposure decreases from a mean of 0.19 in 2013 to a mean of 0.17 in 2040, while all-ages female exposure decreases from a mean of 0.17 to 0.15 in 2040. These forecasts will allow for the creation of detailed burden of disease forecasts that include risk attributions. Additionally, this forecasting framework allows for investigation of hypothetical policies and their influence on burden through reduction in exposure to occupational risk factors.en_US
dc.embargo.lift2020-09-02T17:55:15Z
dc.embargo.termsRestrict to UW for 5 years -- then make Open Accessen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.otherHeuton_washington_0250O_15113.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/33505
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectforecasting; global health; low back pain; occupational risk factorsen_US
dc.subject.otherPublic healthen_US
dc.subject.otherglobal healthen_US
dc.titleForecasting Exposure to Occupational Back Pain: 2013 – 2040en_US
dc.typeThesisen_US

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