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dc.contributor.author | Beyene, Addisu Shunu | |
dc.contributor.author | Bhala, Neeraj | |
dc.contributor.author | Bhansali, Anil | |
dc.contributor.author | Bhatt, Samir | |
dc.contributor.author | Biadgilign, Sibhatu | |
dc.contributor.author | Bienhoff, Kelly | |
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dc.date.accessioned | 2020-07-09T23:12:06Z | |
dc.date.available | 2020-07-09T23:12:06Z | |
dc.date.issued | 2016-10-08 | |
dc.identifier.other | https://doi.org/10.1016/S0140-6736(16)31460-X | |
dc.identifier.uri | http://repositorio-indicasat.org.pa/handle/123456789/199 | |
dc.description | Background Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development.
Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specifi c mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specifi c death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE diff ered from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate. | en_US |
dc.description.abstract | Background Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development.
Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specifi c mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specifi c death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE diff ered from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate. | en_US |
dc.language.iso | eng | en_US |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | DALYs | en_US |
dc.subject | SDGs | en_US |
dc.subject | YLLs | en_US |
dc.title | Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.type | info:edu-repo/semantics/publishedVersion | |