Foodborne Trematodiasis: Paragonimiasis
- Age sex splitting
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Meta-analysis of mild, moderate, severe
- Out of DisMod crosswalks
- Severity splits
Gallbladder and biliary diseases
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- Meta-analysis of % mild/mod/severe gallbladder disease
- Severity splits
- DisMod-MR 2.1
- Subtract prevalence of symptomatic episodes from prevalence of chronic gallbladder and biliary disease
Gastritis and duodenitis
- Adjustment from primary code to all code based on Claims data
- Age-sex splitting
- Causal attribution of anemia sequelae
- Comorbidity correction (COMO)
- Computing excess mortality from available incidence & CSMR data
- DisMod-MR 2.1
- Subtract prevalence of symptomatic episodes from prevalence of chronic gastritis and duodenitis
- Severity splits of symptomatic gastritis
- Meta-analysis of % mild and mod gastritis
Genital prolapse
- Adjustment from primary code to all code based on Claims data
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Meta-analysis of % mild, moderate, severe prolapse
- Severity splits
Glaucoma
- Comorbidity correction (COMO)
- Crosswalk data points that span multiple vision loss categories
- Dismod-MR 2.1
- Split into moderate and severe vision loss
- Squeeze into severity-specific vision loss envelope
Gout
- Age-sex splitting
- Average of two studies reporting average duration
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Lognormal fit to distribution of ## attacks per year
- Severity splits
Guillain-Barre syndrome (GBS)
- Adjustment for case fatality rate via meta-analysis
- Identify and outlier extreme hospital data
- Age splitting
- Comorbidity correction (COMO)
- Dismod-MR 2.1
- Etiology splits
- Meta-analysis of % GBS underlying etiologies
Guinea Worm
- Estimate uncertainty for vetted case data
- Estimate incidence from Poisson model
- Apply sex split
- Dismod-MR 2.1 to generate age trend
- Apply Dismod Age
- Assign sequelea
HAT
- Age-splitting
- Comorbidity correction (COMO)
- Incident cases
- Prevalence estimation
- Splitting sleeping disorder/disfig
Hearing Impairment
- Adjust for hearing aid use
- Apply hearing aid coverage distribution by severity
- By severity, estimate proportion of people experiencing tinnitus
- Calculate congenital hearing loss as birth prevalence
- Comorbidity correction (COMO)
- Crosswalk data points that span multiple hearing loss categories
- Dismod-MR 2.1
- Multiple hearing loss by proportion of hearing loss due to age-relate and othre
- Proportionally split according to distribution of hearing loss envelope prevalences
- Proportionally split into mild/moderate via meta-analysis
- Proportionally squeeze causes to fit within each severity envelope
- Proportionally squeeze to 35+ envelope
- Proportionally squeeze to population
- Split into prevalence with/without tinnitus
Heart failure
- 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, moderate, severe heart failure
- Meta-analysis of % mild, moderate, severe heart failure due to Chagas
- Multiply suqeezed proportions by overall prevalence of heart failure not including Chagas
- Proportion splits
- Regression of % mild, moderate, severe heart failure
- Severity splits
- Apply correction factor using U.S. proportions only
- Generate correction factor using U.S. proportions only
- Subtract prevalence of heart failure due to Chagas from overall envelope
- Cause of Death/Claims data proportions
Hemoglobinopathies and hemolytic anemias
- Adjustment from primary code to all code based on Claims data
- Anemia and heart failure envelope attribution
- Comorbidity correction (COMO)
- DisMod-MR 2.1
- Hardy-Weinberg equilibrium calculation on birth prevalence
- DisMod Incidence = 0, remission = 0
- Meta-analysis of % with symptoms
- Severity splits
Hemolytic disease and neonatal jaundice
- Mixed-effects regression
- Calculate rh_negative_prop
- Rhogam doses adjustment
- Not first-born adjustment
- EHB & kernicterus adjustment (from RH negativity)
- EHB & kernicterus adjustment (from g6pd)
- EHB & kernicterus adjustment (from preterm birth)
- Calculate proportion of all other births
- EHB & kernicterus adjustment (from other births)
- Combine kernicterus prevalence from etiologies
- SMR to EMR
- DisMod-MR 2.1
- Comorbidity correction (COMO)
- Severity splits
