Data analytics
Disease statistics and the inferences drawn from them, enabling medical logistics services to meet demand and supply.
Not dashboards for their own sake
Demand estimation
Supply chains that estimate from population size get it wrong. Estimating from disease data is the whole argument for putting surveillance and logistics in one system.
Read more →Programme evaluation
Whether a screening round changed anything is answerable only if the findings were coded and the referrals tracked.
Read more →Epidemiological inference
Patterns, risk factors and preventable cases, which is the Foundation's first stated objective.
Read more →Where identity stops travelling
Two honest limits
A screening cohort is not a population sample
School screening produces findings about screened children, which is not the same as prevalence in the district. We report it as what it is.
Absence of a finding is not absence of disease
It may mean nobody looked. Our reports distinguish between screened-negative and not-screened.
See the reporting.
What a partner actually receives.