Digital epidemiology
Summary
Epidemiology is a cornerstone of public health. Understanding the distribution and dynamics of diseases is critically important to manage or prevent them. Modern digital approaches are used increasingly in epidemiology. This course teaches both the basics of epidemiology as well as those approaches.
Content
Digital epidemiology is an incredibly active field, both practically and academically, and it will grow alongside the general growth of technology adoption worldwide - in other words, massively and rapidly in the coming years and decades. However, one cannot understand digital epidemiology without understanding epidemiology. That's why the course teaches both the basics of epidemiology, infectious disease dynamics, and modern digital approaches to epidemiology. It is intented to introduce the learner to digital epidemiology, and to give an overview of the field, including its most recent and exciting developments.
Topics include:
- Introduction to epidemiology
- Testing and diagnostics
- Study types
- Infectious disease dynamics
- Infectious disease models
- Network models
- Digital health surveillance
- Digital contact tracing
- Digital cohorts
- Privacy & ethics
- and more
The topics may change.
Keywords
Epidemiology
Digital
Public Health
Infectious Diseases
Cohorts
Learning Prerequisites
Important concepts to start the course
Students are expected to know how to program, and to have some Python knowledge. They are further expected to understand the basics of biology, particularly also with respect to pathogens and the immune system.
Teaching methods
Ex cathedra; discussion of relevant publications; exercises
Expected student activities
Participating students are expected to engage in this course by attending lectures, reading additional material, understanding and presenting recent state-of-the-art publications, and completing exercises.
Assessment methods
Written exam held in week 14
Resources
Notes/Handbook
Will be provided
Dans les plans d'études
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Digital epidemiology
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Digital epidemiology
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines