Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023

dc.contributor.authorSchumacher, Austin E.
dc.contributor.authorZheng, Peng
dc.contributor.authorBarber, Ryan M.
dc.contributor.authorBhoomadevi, A.
dc.contributor.authorAalipour, Mohammad Amin
dc.contributor.authorAalruz, Hasan
dc.contributor.authorAbabneh, Hazim S.
dc.contributor.authorAbaraogu, Ukachukwu O.
dc.contributor.authorCristiana Abbafati
dc.contributor.authorVillafañe, Jorge Hugo
dc.contributor.authoret al.
dc.date.accessioned2025-10-28T13:46:01Z
dc.date.available2025-10-28T13:46:01Z
dc.date.issued2025
dc.description.abstractComprehensive, comparable, and timely estimates of demographic metrics—including life expectancy and age-specific mortality—are essential for evaluating, understanding, and addressing trends in population health. The COVID-19 pandemic highlighted the importance of timely and all-cause mortality estimates for being able to respond to changing trends in health outcomes, showing a strong need for demographic analysis tools that can produce all-cause mortality estimates more rapidly with more readily available all-age vital registration (VR) data. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is an ongoing research effort that quantifies human health by estimating a range of epidemiological quantities of interest across time, age, sex, location, cause, and risk. This study—part of the latest GBD release, GBD 2023—aims to provide new and updated estimates of allcause mortality and life expectancy for 1950 to 2023 using a novel statistical model that accounts for complex correlation structures in demographic data across age and time.
dc.description.filiationUEMspa
dc.description.impact88.5 Q1 JCR 2024
dc.description.impact12.113 Q1 SJR 2024
dc.description.impactNo data IDR 2023
dc.description.sponsorshipGates Foundation.
dc.identifier.citationSchumacher, A. E., Zheng, P., Barber, R. M., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abbafati, C., Abbas, N., Abbasifard, M., Abbaspour, F., Abd Al Magied, A. H. A., Abd ElHafeez, S., Abdalla, M. A., Abdallah, E. M., Abdel Razeq, N. M. I., Abdel-Hameed, R., Abdel-Rahman, W. M., … Murray, C. J. L. (2025). Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: A demographic analysis for the Global Burden of Disease Study 2023. The Lancet, 406(10513), 1731-1810. https://doi.org/10.1016/S0140-6736(25)01330-3
dc.identifier.doi10.1016/S0140-6736(25)01330-3
dc.identifier.issn0140-6736
dc.identifier.issn1474-547X
dc.identifier.urihttps://hdl.handle.net/11268/16419
dc.language.isoeng
dc.peerreviewedSi
dc.relation.publisherversionhttps://doi.org/10.1016/S0140-6736(25)01330-3
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.sdgGoal 1: End poverty in all its forms everywhere
dc.subject.sdgGoal 3: Ensure healthy lives and promote well-being for all at all ages
dc.subject.sdgGoal 5: Achieve gender equality and empower all women and girls
dc.subject.sdgGoal 10: Reduce inequality within and among countries
dc.subject.sdgGoal 17: Partnerships
dc.subject.unescoCiencias médicas
dc.subject.unescoPolítica de la salud
dc.subject.unescoDemografía
dc.titleGlobal age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication4adbada5-6908-47e1-a7e8-b70d0a27a54d
relation.isAuthorOfPublication.latestForDiscovery4adbada5-6908-47e1-a7e8-b70d0a27a54d

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