Mots-Clés

epidemiology multi-scale modelling mechanistic modelling within-host model

Description

Proposal description

Multiscale infectious processes, i.e., interactions between the host response to infection and epidemic dynamics, are little studied in animal health and for many zoonoses. Intra-individual dynamics are generally represented in a simplified way in epidemiological models by the international scientific community, inter-individual variability being neglected. This jeopardizes the robustness and accuracy of epidemiological model previsions and their interpretation in terms of disease surveillance, prevention and control needs.

To either confirm or refute the major and recurring simplifying hypothesis that the heterogeneity and dynamics of host responses can be neglected, you will contribute to develop a multiscale modelling framework. First, you will compare several mathematical formalisms to represent the within-host infection dynamics and to characterize its heterogeneity among individuals, considering the requirements for future scaling-up of the proposed methods. You will then apply the most relevant method to real infectious diseases, in the frame of a Horizon Europe project (WiLiMan-ID), focusing on West-Nil fever, and potentially on avian flu and African swine fever. Second, you will study how accounting for such within-host dynamics in epidemiological models leads to different previsions from conventional epidemiological models, and could enhance the anticipation and control of epidemics.

Knowledge of processes at the different scales (within-host and population), associated data and computing and operating resources are available. A junior researcher (CRCN) should join the team in September and will also collaborate on this topic. In addition, on-going collaboration with INRIA (Rapsodi team, Lille) and INRAE MathNum division (MaIAGE, Jouy-en-Josas) will help facing the most methodological aspects of the work.

Expected skills

• PhD in multiscale modelling
• Experience in mechanistic modelling at several scale, with application to a biological system
• Excellent programming skills (Python, R, C++)
• Interest in infectious diseases, epidemiology, interdisciplinary research
• Strong organizational and written/oral communication skills, fluency in English
• Be highly motivated towards scientific research