Overview
This course examines the methods used to describe, compare, and interpret health at the population level. It integrates epidemiologic, demographic, statistical, environmental, and policy perspectives to investigate population structure, migration, fertility, mortality, morbidity, disability, life expectancy, burden of disease, health-adjusted life years, risk factors, social determinants, health systems, and health disparities.
Students develop competence in defining population health questions, selecting indicators and denominators, managing and assessing routine and survey data, comparing populations, quantifying inequalities, and interpreting contextual and compositional effects. Applied work addresses standardized rates, decomposition, population attributable measures, small-area analysis, spatial epidemiology, geospatial visualization, ecological inference, multilevel determinants, comparative risk assessment, intersectionality, and the limitations of population-level measurement.
The course emphasizes the translation of analytic findings into prevention strategies, health equity initiatives, and policy options. Students construct a population health profile, analyze a public dataset, visualize disparities, evaluate data quality and limitations, and prepare an evidence-based briefing for decision-makers.
Learning Outcomes
- Define population health questions and formulate appropriate analytic objectives.
- Select and justify indicators, denominators, comparative measures, and data sources for population health analysis.
- Analyze routine, survey, demographic, and administrative data using appropriate epidemiologic and statistical methods.
- Calculate and interpret standardized rates, population attributable measures, health-adjusted life years, and inequality metrics.
- Evaluate spatial, ecological, contextual, compositional, and multilevel influences on population health outcomes.
- Construct clear tables, visualizations, maps, and population health profiles for varied audiences.
- Critique measurement validity, data quality, uncertainty, comparability, and limitations in population-level evidence.
- Synthesize analytic findings into evidence-based recommendations for prevention, health equity, and public policy.
Timetable
| Type | Length | Frequency | Period |
|---|---|---|---|
| Lecture | 2 hours | Weekly | All semester |
| Lab | 2 hours | Weekly | All semester |
| Tutorial | 1 hour | Fortnightly | All semester |
Assessment Schedule
| Type | Description | Weighting |
|---|---|---|
| Assignment | Population health profile | 20.00% |
| Assignment | Secondary data analysis | 25.00% |
| Deliverable | Spatial and disparity visualization | 15.00% |
| Assignment | Data limitations evaluation | 15.00% |
| Capstone | Evidence-based policy briefing | 25.00% |
Prerequisites
Teaching Staff & Programs
This course is delivered jointly by faculty from the participating programs listed below. In line with the Douchewater Way, the University of Sexology tailors core instruction directly to each cohort's specific discipline — adapting curriculum to program needs rather than forcing students into a one-size-fits-all model. Learn more about our approach at The Douchewater Way.
