OPT 417
Epidemiology
1 Unit(s) (LH 15)
Course Description
At the end of the Epidemiology course, student should be able to:
1. discuss the definition and basic tenets of epidemiology;
2. discuss the concept of disease, health, disease prevention, and population at risk;
3. conduct research on natural history of disease and epidemiologic model of disease
occurrence;
4. explain the epidemiology of ocular diseases;
5. describe disease occurrence in populations in terms of person-time-place model;
6. describe disease occurrence in populations in terms of agent-host-environment model;
7. explain epidemiologic measures of risk of disease in a population such as incidence rate,
prevalent rate, relative risk ratio, attributable risk and many others;
8. discuss the principles of screening in disease control and surveillance;
9. describe different study designs in epidemiology and morbidity survey such as case control,
cohort study, clinical trials and many others;
10. engage in activities towards community support for eye care;
11. engage in decision analysis and clinical decision making in relation to epidemiological data;
and
12. apply biostatistical techniques in epidemiology in relation to Optometry and vision science.
Course Outline
General epidemiologic concepts: Principles and methods of epidemiology. Distribution and
dynamics of diseases; description and application of the descriptive epidemiological models of
person-time-place, and agent-host-environment relationships with respect to specific diseases.
Description of natural history of disease and the epidemiologic methods for prevention and
control. Definition and application of epidemiological measures of risks in a population. The
concept and practice of screening, and disease surveillance in the control and prevention of
diseases. Basic principles and techniques of morbidity surveys, retrospective (case-control) and
prospective (cohort) studies. Infectious disease epidemiology. Application of epidemiological
principles and methods in decision analysis and clinical decision. Application of basic biostatistical
techniques in epidemiology