Learning Outcomes:
At the end of the module the student will:
- have a strong sense of the history and development of epidemiology as a scientific discipline;
- be able to access and interpret demographic data from national and international sources;
- know how population pyramids are constructed, their applications and relevance;
- compile population data and burden of disease data for their own country;
- understand disease rates and be able to correctly compare rates across populations and over time;
- understand the concepts of association and causation;
- know and apply the Bradford-Hill criteria for causation to scientific studies;
- be able to determine an appropriate study design for a research question;
- know scientific and operational aspects of sampling, recruitment and follow up in epidemiological studies;
- define endpoints for scientific investigations using standard international criteria;
- assess the validity and reliability of measurement instruments, screening and diagnostic tests;
- determine bias, measurement error, confounding and chance in epidemiological studies;
- interpret estimates of risk and benefit and their confidence intervals from epidemiological studies;
- critically appraise scientific studies including methodology, interpret results and conclusions;
- apply relevant reporting guidelines such as STRoBE, CONSORT, PRISMA and others;
- interpret key concepts in epidemiology.