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Record W4301307539 · doi:10.17615/acfq-b432

Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

2020· article· en· W4301307539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUNC Libraries · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Institute on AgingNorwegian Institute of Public HealthInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesSahlgrenska AkademinNational Health and Medical Research CouncilEconomic and Social Research CouncilDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthJohns Hopkins Bloomberg School of Public HealthSchool of Medicine, Shanghai Jiao Tong UniversityGraduate School of Public Health, University of PittsburghNational Institutes of HealthUniversity of Health and Allied SciencesAswan UniversityRede de Química e TecnologiaWestern Sydney UniversityH. Lundbeck A/SAlborz University of Medical SciencesChildren's Hospital of MichiganUniversity of ThessalyEthiopian Public Health AssociationPontificia Universidad JaverianaThe Wellcome Trust DBT India AllianceUniversität UlmUniversity of PeradeniyaUniversidade do Estado de Santa CatarinaAddis Ababa UniversityAlfaisal UniversityUniversity of GondarUniversity of the PhilippinesMedical Research CouncilSri Ramachandra UniversityFundação Instituto de Pesquisas EconômicasUniversidade Federal de Minas GeraisUniversità degli Studi di SalernoUppsala UniversitetBaqiyatallah University of Medical SciencesFoundation for Education and European CultureUniversitetet i OsloKermanshah University of Medical SciencesAstellas PharmaRegione ToscanaMashhad University of Medical SciencesShanghai Jiao Tong UniversityTaipei Medical UniversityInyuvesi Yakwazulu-NataliUniversiti Kebangsaan MalaysiaKuwait UniversityMuhimbili University of Health and Allied SciencesStockholms Läns LandstingSeoul National University HospitalMazandaran University of Medical SciencesKarolinska InstitutetTampereen YliopistoHospital de Clínicas de Porto AlegreGöteborgs UniversitetEusko JaurlaritzaAteneo de Manila UniversityHögskolan DalarnaUniversity of WashingtonAalborg UniversitetKyung Hee UniversityYonsei UniversitySoonchunhyang UniversityChinese Academy of SciencesUniversidad de Costa RicaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorErasmus Universiteit RotterdamFriedrich-Schiller-Universität JenaQueensland University of TechnologyGriffith UniversityMonash UniversityDanmarks GrundforskningsfondUniversität HeidelbergQueensland Brain InstituteUniversity of California, San DiegoUniversity of West FloridaConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of North Carolina at Chapel HillPublic Health AgencyDepartment of Biotechnology, Ministry of Science and Technology, IndiaArkansas State UniversitySwansea UniversityInternational Society of NephrologyUniversity of GlasgowSchool of Medicine, Wayne State UniversityUniversity of OxfordIndian Council of Medical ResearchUniwersytet Jagielloński Collegium MedicumUniversity College LondonImperial College LondonKing's College LondonGeneralitat ValencianaGolestan University of Medical SciencesAmerican University of BeirutNational Research FoundationNational Institute for Health and Care ResearchNational University of SingaporeLa Trobe UniversityCancer Research UKUniversity of CanberraTata Institute of Social SciencesMaragheh University of Medical SciencesUniversitetet i BergenSimmons CollegePublic Health WalesChest Research FoundationGE FoundationInstitute of GeneticsUniversidade do PortoAustralian GovernmentHacettepe ÜniversitesiKosin UniversityAmgenPublic Health Agency of CanadaTrường Đại học Duy TânJohns Hopkins UniversityWellcome TrustSamara UniversityJordan University of Science and TechnologyNational Cerebral and Cardiovascular CenterUniversity of PittsburghNational University of IrelandIstituto di Ricerche Farmacologiche Mario Negri - IRCCSUmweltbundesamtBrown UniversityUniversitas Negeri SemarangUniversity Hospitals Bristol NHS Foundation TrustRensselaer Polytechnic InstituteHelsingin YliopistoOttawa Hospital Research InstituteAin Shams UniversityKletjian FoundationNational Institute for Social Care and Health ResearchUniversidade Federal do Rio Grande do SulSeattle Children's Research InstituteNational Cancer InstituteEuropean Regional Development FundSeoul National UniversityUniversity of California, San FranciscoUniversity of Central FloridaPlan Nacional sobre DrogasUniversity of North TexasAhmadu Bello UniversityEuropean CommissionMansoura UniversityAstraZenecaTehran University of Medical Sciences and Health ServicesMount Sinai Health SystemHorizon PharmaceuticalsUniversity of OttawaCollege of Medicine, Seoul National UniversityAuckland University of Technology, New ZealandUniversity of OtagoChristian Medical College, VelloreCurtin University of TechnologyJapan Agency for Medical Research and DevelopmentUniversity of GalwayInstituto de Salud Carlos IIIUniversità degli Studi di MilanoUniversiteit GentBill and Melinda Gates FoundationUnited Arab Emirates UniversityEmory UniversityBahir Dar UniversityNational Center for Child Health and DevelopmentSouth African Medical Research CouncilDepartment for International DevelopmentEngineering and Physical Sciences Research CouncilXiamen UniversityUniversity of PennsylvaniaUniversity of HaifaWayne State UniversityZahedan University of Medical SciencesHarvard UniversityUnited Nations Population FundBritish Heart FoundationChildren's Hospital of PhiladelphiaUniversité de LorraineNational Institute of Mental HealthCase Western Reserve UniversityLaboratório Associado para a Química VerdeOklahoma State UniversityAlzheimer's AssociationKorea Health Industry Development InstituteDavid Geffen School of Medicine, University of California, Los AngelesApplied Molecular Biosciences UnitIran University of Medical SciencesUnited States Agency for International Development
KeywordsLife expectancyDemographyGerontologyDiseaseBurden of diseaseMortality rateMedicineEnvironmental healthPopulationInternal medicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. METHODS: We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Socio-demographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. FINDINGS: Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates-a measure of relative inequality-increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86·9 years (95% UI 86·7-87·2), and for men in Singapore, at 81·3 years (78·8-83·7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.141
GPT teacher head0.340
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it