SELMATRAC population health analysis applies epidemiological and statistical methods to understand how health outcomes are distributed across populations. This work answers who is affected, where the burden is concentrated and which factors explain the pattern.
SELMATRAC population health analysis applies epidemiological and statistical methods to understand how health outcomes are distributed across populations. This work answers who is affected, where the burden is concentrated and which factors explain the pattern.
Analysts define the study design, calculate sample sizes, prepare statistical analysis plans, clean and structure the data, then apply regression, survival and multilevel models. Results are documented to a standard suitable for peer review and for policy briefs.
It involves designing epidemiological studies, analysing health data across a population and modelling the factors that drive differences in health outcomes.
Yes. SELMATRAC works with routine health and surveillance datasets, cleaning and analysing them to produce usable evidence without collecting new data.
