Teaching / Epidemiology and Public Health
Modeling of Infectious Diseases
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This course, offered by the Epidemiology and Public Heatth (EPI), is intended to provide students in sciences, medicine and public health with an introducton to the mathematical modeling of infectious diseases.
Presentation
Training lectures are given in English.
Pre-requisite: A college degree is required. Basic knowledge of algebra (matrices) and calculus (derivatives) is recommended, but not required.
This course is intended to provide students in sciences, medicine and public health with a thorough introduction to the mathematical modeling of infectious diseases. 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 using homogeneous branching processes. More sophisticated models of transmission networks included within complex networks of social contacts are discussed as well. Uncertainty and sensitivity analyses of modeling output are explained.
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.
Pre-requisite: A college degree is required. Basic knowledge of algebra (matrices) and calculus (derivatives) is recommended, but not required.
This course is intended to provide students in sciences, medicine and public health with a thorough introduction to the mathematical modeling of infectious diseases. 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 using homogeneous branching processes. More sophisticated models of transmission networks included within complex networks of social contacts are discussed as well. Uncertainty and sensitivity analyses of modeling output are explained.
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.
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)
Diplomas
The Institut Pasteur Diploma will be awarded to students having successfully completed the 3 sessions 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).
