Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.
Level 3 - non-randomized controlled study
Level assigned by design analogy; comprehensive descriptive epidemiological synthesis and Bayesian meta-regression modeling across 204 countries and territories (1990–2019).
PubMed 33069326 · doi:10.1016/S0140-6736(20)30925-9
What was done
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 estimated incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 369 diseases and injuries across 204 countries and territories from 1990 to 2019. Data were compiled from censuses, vital statistics, household surveys, disease registries, health service records, satellite imaging, and environmental monitors. Estimation employed the Cause of Death Ensemble model, spatiotemporal Gaussian process regression, and the DisMod-MR 2.1 Bayesian meta-regression tool, stratifying analyses across Socio-demographic Index (SDI) levels with 95% uncertainty intervals.
What was found
Global age-standardised DALY rates declined steadily from 1990 to 2019, though the absolute number of DALYs remained stable after accounting for population growth and ageing. The decline in age-standardised DALY rates accelerated after 2010 in people under 50 years, with the greatest annual rate of decline in the 0–9 age group. In children under 10, six infectious conditions were in the top 10 DALY causes in 2019: lower respiratory infections (2nd), diarrhoeal diseases (3rd), malaria (5th), meningitis (6th), whooping cough (9th), and sexually transmitted infections (specifically congenital syphilis; 10th). Road injuries were the leading DALY cause for ages 10–24 and 25–49. Ischaemic heart disease and stroke ranked first and second for ages 50–74 and 75 and older. In 11 countries, non-communicable disease and injury YLDs constituted more than 50% of the total disease burden in 2019. Rates improved faster in lower SDI countries, while progress stagnated or reversed in higher SDI countries. Specific point estimates and numerical confidence intervals were not provided in the abstract.
Why it matters
This study provides a comprehensive baseline of international disease burden shifts, showing that health systems must adapt to a rising proportion of years lived with disability and chronic non-communicable diseases driven by population aging.
Limits
The findings rely heavily on statistical modeling and imputation in locations with incomplete or low-quality civil registration and vital statistics data. Specific point estimates, exact percentage changes, and uncertainty interval bounds were omitted from the abstract text.
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