Veterinary epidemiology and risk analysis

Duration

30h Th, 30h Mon. WS

Number of credits

Lecturer

Fabienne Fecher-Bourgeois, Christiane Gosset, Nathalie Kirschvink, Claude Saegerman

Coordinator

Claude Saegerman

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Epidemiology is the science that studies the distribution of diseases and health indicators in populations and the influences that determine this distribution. Risk analysis is a way to organize the information available on a potential event , translate them into probabilities by taking into account assumptions, variability and uncertainty, and to logically deduce decisions. The specificity is mainly, for the first, the population aspect and for the second, the interdisciplinary aspect. Their importance for health professionals is great to better prevent diseases but also manage them better.

Learning outcomes of the learning unit

• Understand the basics and advanced methods in epidemiology and risk analysis
• Know the basics of public health systems, human and animal health
• Acquire basic reasoning to manage a risk of infection at farms/facilitities/care units, including emerging diseases.

Prerequisite knowledge and skills

Have a first experience in a health care system whatever the origin (public health, animal health, plant health).

Planned learning activities and teaching methods

* Interactive course and tutorials.

Mode of delivery (face-to-face ; distance-learning)

• Face-to-face

Recommended or required readings

 * Notes available on eCampus

Assessment methods and criteria

* Each student is evaluated based on the presentation and defense of a work of epidemiology or risk analysis in the context of his country and its sector of activities.

Work placement(s)

Organizational remarks

Contacts

• Prof. Fabienne Fecher

• Prof. Christiane Gosset :

• Prof. Nathalie Kirschvink :

• Prof. Claude Saegerman