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TV5040 - Epidemiology 1

Credit points: 3
Year: 2019
Student Contribution Band: Band 2
Administered by: College of Public Health, Medical & Vet Sciences

Available to graduate students.

An introductory module in veterinary epidemiology designed to provide a sound foundation in epidemiology that can be applied in practice and upon which further studies in various disciplines can be built. It is presented as a multi-mode learning module, which will enable students to complete it at their own pace and primarily off campus. The module covers epidemiological terms, aspects of population medicine, disease outbreak investigation, clinical epidemiology, disease causation, experimental studies, observational studies, surveys, analytical tools, serological tests and making sense of data

Learning Outcomes

  • have a thorough knowledge of epidemiological terms and be able to classify disease factors into determinants and variables;
  • be able to apply the concepts of spatial, temporal and population patterns to veterinary practice and disease outbreak investigations;
  • Be able to evaluate clinical data using epidemiological tools and be able to hypthesise the causes of disease based on an understanding of the concepts of causality;
  • be able to design surveys, cross-sectional, case control, cohort and experimental studies and interpret their results using the correct epidemiological tools;
  • have an understanding of the concepts of sensitivity, specificity and predictive value of diagnostic tests; and the concepts of association, confounding, effect modification validity, misclassification, reliability and standardisation with respect to population data and diagnostic tests.


Townsville, Limited, Study Period 1
Census Date 28-Mar-2019
Face to face teaching (TBA)
Coordinator: Dr Margaret Reilly, Professor Bruce Gummow, Professor Estelle Venter
Lecturers: Assoc. Professor John Cavalieri, Professor Bruce Gummow.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures - distance-based delivery lectures
  • 13 hours tutorials - distance-based delivery tutorials
  • 24 hours - 24 contact hours case studies
  • assessment and self-directed study
Assessment: end of semester exam (60%); tutorial attendance and participation (40%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.