Teaching
Modeling of Infectious Diseases
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This course, is intended to provide students in sciences, medicine and public health with a thorough introducton to the mathematical modeling of infectious diseases.
Presentation
Training lectures are given in English.
Pre-requisite: A Master or BSc degree is required. Basic knowledge of algebra (matrices), calculus (derivatives) and probabilities is recommended. Notes covering these topics at the level needed for the class can be downloaded : square matrices, derivatives.
Special attention is devoted to developing compartmental models within either a deterministic or a stochastic framework. The class also covers models of disease transmission networks based on homogeneous branching processes. More sophisticated models of transmission networks embedded within complex networks of social contacts are discussed as well. Uncertainty and sensitivity analyses of modeling output are explained and illustrated.
The notion of the basic reproduction ratio R0 is introduced for models of various types. Methods to calculate R0 from epidemiological data and the impact of control measures on R0 is discussed.
Lectures alternate with modeling case studies from the scientific literature and computing exercises.
The program of the course held in 2012 can be downloaded HERE
Pre-requisite: A Master or BSc degree is required. Basic knowledge of algebra (matrices), calculus (derivatives) and probabilities is recommended. Notes covering these topics at the level needed for the class can be downloaded : square matrices, derivatives.
Special attention is devoted to developing compartmental models within either a deterministic or a stochastic framework. The class also covers models of disease transmission networks based on homogeneous branching processes. More sophisticated models of transmission networks embedded within complex networks of social contacts are discussed as well. Uncertainty and sensitivity analyses of modeling output are explained and illustrated.
The notion of the basic reproduction ratio R0 is introduced for models of various types. Methods to calculate R0 from epidemiological data and the impact of control measures on R0 is discussed.
Lectures alternate with modeling case studies from the scientific literature and computing exercises.
The program of the course held in 2012 can be downloaded HERE
Full time, except Saturdays, from April 22, to May 03, 2013 (examinations included)
Number of students: 20
Closing-date for applications: January 1, 2013 (online registration)
Tuition fees
Diplomas
The Institut Pasteur Diploma will be awarded to students having successfully and passed the final examination
4 ECTS for students registered in Master’s training in Public Health - Pasteur/ Cnam of Public Health (Pasteur-Cnam),
Modules from Doctoral Schools (about modules)
4 ECTS for students registered in Master’s training in Public Health - Pasteur/ Cnam of Public Health (Pasteur-Cnam),
Modules from Doctoral Schools (about modules)
Members of the teaching Committee
P.-Y. Boëlle (Université P. et M. Curie), R. Breban (Indtitut Pasteur), E. Coeffier (Institut Pasteur), C. Parsot (Institut Pasteur).
