Section outline

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    Within host modelling of infectious diseases 2025

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    More information may appear later

    Course Instructors

    Melanie Prague, SISTM, Inria, Bordeaux, France

    Jérémie Guedj, INSERM, Université de Paris, France

    Course contents:

    This course introduces mathematical and statistical approaches to model infection dynamics within a host, with a focus on practical applications in pharmacometrics, virology and immunology. Combining theoretical insights with hands-on training, the course explores how viral dynamics, and immune responses models can be used to study infection progression, treatment strategies and vaccination.This course is designed for researchers, students, and practitioners who seek to deepen their understanding of within-host infection modeling and its inter-play with between-host dynamics.

    Methodology for Dynamical Models:
    - Population approach, non-Linear Mixed effects models (NLME)
    - Application in pharmacometrics
    - Hands-on sessions using Monolix, a software platform for NLME modeling.

    Viral Dynamics : 
    - Foundations of Viral Dynamics: Mathematical Models and Their Applications
    - Modeling Antiviral Treatments
    - Introduction to Resistance Dynamics
    - Case study 

    Dynamics of immune responses.
    - Modeling humoral response after infection and vaccination 
    - Integration of humoral response into viral dynamics models.
    - Link Between Within-Host and Between-Host Dynamics
    - Case study

    Learning Objectives:
    By the end of the course, participants will:
    - Understand key modeling frameworks for within-host infection dynamics.
    - Develop skills in implementing and interpreting NLME models.
    - Apply viral and immune response models to real-world data.
    - Explore the connections between individual and population-level modeling.

    Keywords: Dynamical models, population approach, within-host modeling, virus dynamics, immune response, pharmacometrics, mixed effects models, real-world data. 


    Time and Place

    All lectures take place at Stockholm University in Campus Albano, house 1, level 2. See the "Registration and Venue" page for further details.

    Lecture times (includes also problem solving, tutorials, computer sessions, ...): 

    Wednesday June 25: 14.00-15.30, 16.00-17.30

    Thursday June 26: 9.00-10.30, 11.00-12.30, 14.00-15.30, 16.00-17.30

    Friday June 27: 9.00-10.30, 11.00-12.30, 14.00-15.30, 16.00-17.30

    General prerequisites

    It is expected that course participants have basic knowledge of statistics and mathematics and rudimentary knowledge of infectious disease epidemiology. It is also expected that participants have basic computer software knowledge and preferably are familiar with the software R. 

    IMPORTANT: All participants are expected to bring a laptop with R installed on it.

    Additional prerequisites for this course

     

    Relevant literature


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