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dc.contributor.author | Ayer, Rakesh | |
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dc.contributor.author | Azzopardi-Muscat, Natasha | |
dc.contributor.author | Badali, Hamid | |
dc.contributor.author | Badawi, Alaa | |
dc.contributor.author | Balakrishnan, Kalpana | |
dc.contributor.author | Bali, Ayele Geleto | |
dc.contributor.author | Banach, Maciej | |
dc.contributor.author | Banstola, Amrit | |
dc.contributor.author | Barac, Aleksandra | |
dc.contributor.author | Barboza, Miguel A | |
dc.contributor.author | Barquera, Simon | |
dc.contributor.author | Barrero, Lope H | |
dc.contributor.author | Basaleem, Huda | |
dc.contributor.author | Bassat, Quique | |
dc.contributor.author | Basu, Arindam | |
dc.contributor.author | Basu, Sanjay | |
dc.contributor.author | Baune, Bernhard T | |
dc.contributor.author | Bazargan-Hejazi, Shahrzad | |
dc.contributor.author | Bedi, Neeraj | |
dc.contributor.author | Beghi, Ettore | |
dc.contributor.author | Behzadifar, Masoud | |
dc.contributor.author | Behzadifar, Meysam | |
dc.contributor.author | Bejot, Yannick | |
dc.contributor.author | Begashaw Bekele, Bayu | |
dc.contributor.author | Belachew, Abate Bekele | |
dc.contributor.author | Gebreyesus Belay, Aregawi | |
dc.contributor.author | Belay, Ezra | |
dc.contributor.author | Belay, Saba Abraham | |
dc.date.accessioned | 2020-08-07T22:11:56Z | |
dc.date.available | 2020-08-07T22:11:56Z | |
dc.date.issued | 2018-11-10 | |
dc.identifier.other | https://doi.org/10.1016/S0140-6736(18)31891-9 | |
dc.identifier.uri | http://repositorio-indicasat.org.pa/handle/123456789/228 | |
dc.description | Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.
Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. | en_US |
dc.description.abstract | Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.
Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. | en_US |
dc.language.iso | eng | en_US |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | UNPOP | en_US |
dc.subject | GBD | en_US |
dc.subject | Risk Factors Study (GBD) | en_US |
dc.title | Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017 | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.type | info:edu-repo/semantics/publishedVersion | |