Pruritus
Psoriasis
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Meta-analysis of % mild and severe Psoriasis
- Severity splits
Pyoderma
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
Rabies
Rheumatic Heart Disease
- Age-sex splitting
- Comorbidity correction (COMO)
- CSMR from CODEm (nonendemic)
- CSMR from CODEm (endemic)
- Disability weights for each sequela
- DisMod endemic model
- DisMod non-endemic model
- Subtract RHD with heart failure
- Combine estimates for endemic and non-endemic models
Rheumatoid arthritis
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- Dismod-MR 2.1
- Meta-analysis of % mild, moderate, severe RA
- Severity splits
- Age-sex splitting
Scabies
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
Schistosomiasis
- By country-year, calculate prev of sequelae, split by sex and age
- Calculate conversion factor for splitting species-specific infection in N. Africa/Middle East
- Calculate post-control (2010 & 2015) prev
- Calculate pre-control (1990-2005) prev of sequelae using DisMod global age pattern
- Calculate prev of overall schisto infection for 1990-2015
- Calculate TF to convert prev in
- Calculate TF to convert total infection prev to species-specific prev in sub-Saharan Africa
- Comorbidity correction (COMO)
- Convert prev in under 20 to prev in total pop
- Convert total prev of infection to prev of species-specific infection
- Dismod-MR 2.1
- Prepare MDA coverage data
- Set constants for calculations
- Split total prev into mutually exclusive species-specific prev
Schizophrenia
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Meta-analysis of % acute and residual schizophrenia
- Severity splits
Seborrhoeic Dermatitis
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Meta-analysis of % symptomatic and asymptomatic Seborrhoeic Dermatitis
- Severity splits
Sexual Violence
- DisMod-MR 2.1
- Calculate proportion of events resulting in physical injury (N-codes) and acute anxiety
- N-Code: calculate prevalence
- N-Code: calculate YLDs
- Anxiety: calculate prevalence
- Anxiety: calculate YLDs
- Calculate location-year specific percent treated
- % treated * treated duration + untreated * untreated duration
- Collapse YLDs and prevalence over N-codes and anxiety
Sexually-transmitted infections excluding HIV
- Adjustment from primary code to all code based on Claims data
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Severity splits
Tension-type headache
- Age-sex splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Meta-analysis proportion time symptomatic
Tension-type Headache
Tetanus
- Appy percent mild, moderate, severe
- Assume all tetanus cases are severe
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Incidence = Mortality/CFR
- Incidence of survival from neonatal tetanus
- Prevalence = incidence * duration
- Severity splits
- severity splits as in neonatal encephalopathy
Trachoma
- Comorbidity correction (COMO)
- Mixed-effects model
- Multiply proportion by blindness envelope
- Multiply proportion by low vision envelope
- Principal components analysis (PCA)
- Split into moderate and severe vision loss
- Squeeze into severity-specific vision loss envelope
Trichuriasis
- Data preparation
- Adjust prevlanece for locations with coverage data; apply same adjustment to 1990 and 2005
- Model distribution of prevalence for subnationals and scale to national case totals
- Split India subnationals using India prevalence survey and modeled splits of state prevalence into urban and rural, scaling to state case totals and then national totals
- Interpolate (exponentially) between 1990 and 2005 to get 1995 and 2000 estimates
- Produce draws for 2016 based on 2010 estimates corrected for PCT control activities between 2010 and 2016; Extrapolate trend 2004-2010 to 2016, given cumulative number of ttp
- Calculate cumulative number of treatments per person in population requiring PCT
- Estimate prevlanece of severe wasting due to ascariasis
- Apply geographic restrictions
- Estimate prevalence of asymptomatic ascarasis
- Comorbidity Correction
- YLD Calculation
- Adjust outlier countires
