Nonfatal Injuries
- 1. Prep
- Apply incidence E\N matrices (if multiple N-codes, assign the most severe)
- Assert >15% E-coding in hospital, apply adjustment based on E\N proportion
- Apply incidence-to-mortality ratios to fatal discontinuities and state actor violence deaths
- Calculate and append outpatient incidence
- Crosswalk EQ5D to SF-12
- Generate E\N matrices (Dirichlet regression)
- Generate severity N-code ranks
- SF-12 or EQ5D scores translated into disability weights
- Upload results to epi database
- 2. Short-Term
- 3. Long-Term
Obstetric fistula
- Comorbidity correction (COMO)
- Age-sex splitting
- proportion vesicovaginal and rectovaginal
- Geographic exclusions
- DisMod-MR 2.1
- Severity Splits
Onchocerciasis
- Comorbidity Correction
- Extrapolation of all case prevalence and sequelae
- Combine acute and chronic skin disease level 2
- Multiply visual impairment and blindness by random value normally distributed with mean zero and standard deviation 0.1 to add uncertainty
- Multiply visual impairment estimates by a random value to generate moderate vision impairment, then subtract resulting estimates from visual impairment to obtain estimates of severe vision impairment
- Re-calculate prevalence
- Transform to logit space - logit(prevalence)
- Add uncertainty due to nod-mf conversion for OCP countries
- Normalize draws
- Add time trend uncertainty
- Re-expand normalized draws to adjusted scale
- Model population at risk in each focuse using a Poisson model. Covariates: year splines
- Model prevalence of onchocerciasis in the Americas among the population at risk in each focus using a glm model with binomial family, logit link, no intercept term and random effects on a combined foci cariable. Covariates: focie indicator variable, years since MDA start, age splines
- Sum cases across GBD location-years and divide by population
- Adjust prevalence in foci estimates by population at risk to get case total by foci
- Split sequelae using all-age all-sex global sequelae ratios in Africa estimates
- Estimate prevalence of asymptomatic onchocerciasis
- YLD calculation
Opioid use disorders
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- Age-sex splitting
- Dismod-MR 2.1
- Mapping of EQ5D to SF-12
- Mapping to SF-12 GBD disability weight
- Regression to estimate disability weights by cause in survey respondents controlling for comorbidity
Osteoarthritis
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- knee/hip split
- Meta-analysis of % mild, moderate, severe OA
- Age-sex splitting
- Severity splits
Other cardiovascular disease
- Comorbidity correction (COMO)
- Ratio of other CVD (not including HF) to HF due to other CVD causes for US, 2005 (MEPS regression)
- Multiply ratio by prevalence of HF due to other CVD
- Regression of % mild, moderate, severe disease
- Severity splits
Other drug use disorders
- Comorbidity correction (COMO)
- Computing excess mortality from available prevalence & CSMR data
- Dismod-MR 2.1
Other gynecological conditions
- Comorbidity correction (COMO)
- Adjustment from primary code to all code based on Claims data
- Meta-analysis of % mild, moderate, severe other gynecological conditions
- Dismod-MR 2.1
- Severity splits
Other mental disorders
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Mapping of EQ5D to SF-12
- Mapping to SF-12 GBD disability weight
- Regression to estimate disability weights by cause in survey respondents controlling for comorbidity
Other musculoskeletal disorders
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- Dismod-MR 2.1
- Age-sex splitting
- Map SF-12 to GBD disability weights
- Regression to estimate disability weight by cause in survey respondents controlling for comorbidity
- Subtraction long-term injury
- Severity splits
Other non-rheumatic valve diseases
Other sense organ diseases
Other skin and subcutaneous diseases
- Adjustment from primary code to all code based on Claims data
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Age-sex splitting
- Meta-analysis of % symptomatic and asymptomatic OSSD
- Severity splits
Other vision loss
- Comorbidity correction (COMO)
- Crosswalk data points that span multiple vision loss categories
- Split into moderate and severe vision loss
- Squeeze into severity-specific vision loss envelope
- DisMod-MR 2.1
