Vision Impairment
- Comorbidity correction (COMO)
- Crosswalk data points that span multiple vision loss categories
- Crosswalk best-corrected data points from soruces not reporting presenting vision impairment
- Linear regression of prevalence with fixed effects on best-corrected vision impairment, SDI, HAQI, and superregion random effects
- Age-split data points spanning >20 years using superregion pattern
- Proportionally squeeze sum of causes to fit each severity envelope
- Dismod-MR 2.1
Vitamin A deficiency
- Vision loss envelope
- Nonfatal database
- Vit A supplementation
- Vit A deficiency
- Comorbidity correction (COMO)
- DisMod-MR 2.1 (Prevalence of vision loss due to Vit A deficiency)
- DisMod-MR 2.1 (Vit A deficiency)
- DisMod-MR 2.1 (Vit A supplementation coverage)
- Severity splits
- Subtract from Vit A deficiency (total)
Whooping Cough
- Comorbidity correction (COMO)
- Age-sex splitting
- Assume all whooping cough cases are moderate
- Mixed effects regression
- Prevalence = incidence * duration
Yellow fever
- Asymptomatic estimation
- Mixed effects negative binomial model
- Severity split
- Underreporting correction
- Comorbidity correction (COMO)
Zika
