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Global Burden of Disease Study 2016 (GBD 2016) Nonfatal Code 1

These data are not from the current GBD round. Please see this page for GBD 2019 data. Please contact [email protected] with any questions.

Acne vulgaris


Acute Endocarditis

Acute glomerulonephritis


Acute Hep A


Acute Hep B


Acute Hep C


Acute Hep E


Acute Myocarditis

Acute Urolithiasis


Alcohol dependence

Alopecia areata


Alzheimer disease and other dementias


Amphetamine use disorders

Analytical flowchart for the estimation of cause-specific YLDs by location, age, sex, and year for GBD 2015


  • 2. Data Adjustment
    • Add study-level covariates
    • Adjustment for multiple admissions in same individual
    • Adjustment for multiple outpatient visits per prevalent/incident case based on claims data
    • Adjustment for underreporting
    • Adjustment from primary code to all code based on claims data for causes with long duration
    • Age-sex splitting
    • Compute excess mortality prior from available incidence or prevalence & CSMR
    • Pre DisMod bias correction
  • 3a. DisMod-MR 2.1 Estimation
  • 3b. Alternative Disease Modeling Strategies
    • Cancer
    • Case fatality proportion and cause of death rate models
    • HIV/AIDS and TB
    • Malaria
    • Neonatal disorders
    • Seroprevalence to incidence models
  • 3c. Injury Modeling strategy
    • Apply cause-nature of injury matrices
    • Determine most severe nature of injury category in any individual
    • DisMod-MR 2.1
    • Estimate duration of short-term disability
    • Generate cause-nature of injury matrices with neg. binomial models
    • Meta-analysis
    • Probability of long-term disability
  • 4. Impairment and Underlying Cause Estimation
    • Apply etiology/severity proportions to disease/impairment morbidity estimates
    • Scale impairment prevalence by underlying cause or severity to envelope
    • Scale to 100%
  • 5. Severity Distribution
    • DisMod analysis proportion by severity level
    • Map EQ5D to SF-12
    • Map SF-12 to GBD disability weights
    • Meta-analysis proportion by severity level
    • Regression to estimate disability weight by cause in survey resps controlling for comorbidity
    • Scale to 100%
  • 6. Disability Weights
    • Analysis of paired comparison & population health equivalence responses
  • 7. Comorbidity
  • 8. YLDs
    • YLD to YLL ratio for 12 residual causes without primary data


Anorexia nervosa