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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00375155" target="_blank" >RIV/68407700:21460/24:00375155 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/S0140-6736(24)00757-8" target="_blank" >https://doi.org/10.1016/S0140-6736(24)00757-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/S0140-6736(24)00757-8" target="_blank" >10.1016/S0140-6736(24)00757-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

  • Original language description

    Regular reporting on population health and causes of death is crucial for public health decision-making. Cause-specific mortality estimates help track progress in reducing mortality rates, especially after events like the COVID-19 pandemic. Analyzing mortality rates and life expectancy provides insights into the global impact of various causes of death over time. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 estimated mortality and years of life lost (YLLs) from 288 causes of death in 204 countries and 811 subnational locations from 1990 to 2021. Using 56,604 data sources, the study employed the Cause of Death Ensemble model to estimate cause-specific death rates. YLLs were computed by multiplying the number of deaths by the standard life expectancy at each age. Uncertainty intervals (UIs) were generated for each metric. The study included new age groups under five years, refined methods for sparse data, and pandemic-related mortality. In 2021, COVID-19 became the second-leading cause of death, displacing stroke. The highest death rates from COVID-19 were in sub-Saharan Africa and Latin America, while the lowest were in high-income regions and southeast Asia. Global life expectancy improved between 1990 and 2019 but dropped by 1.6 years from 2019 to 2021 due to the pandemic. Life expectancy gains varied by region, with southeast Asia, east Asia, and Oceania seeing the smallest reduction from COVID-19. Certain causes of death, like enteric infections and neonatal disorders, became more concentrated in specific regions since 1990. The COVID-19 pandemic disrupted long-standing gains in life expectancy, but progress continues against several leading causes of death. Regional variations in mortality and life expectancy highlight the need for targeted public health interventions. Understanding shifting mortality trends and successful interventions can inform policies to improve life expectancy globally.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The Lancet

  • ISSN

    0140-6736

  • e-ISSN

    1474-547X

  • Volume of the periodical

    403

  • Issue of the periodical within the volume

    10440

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    29

  • Pages from-to

    2133-2161

  • UT code for WoS article

    001270515100001

  • EID of the result in the Scopus database

    2-s2.0-85191888198