ANR QUASAR : QUantitative Antimicrobial resistance: control Strategies and evolutionary Adaptation of parasitical virulence and Resistance

In view of the multiple pathogen evolution capabilities, the long-term efficacy of antimicrobials is a major public health problem. Defining sustainable strategies for managing antimicrobials efficiency, in space and time, must: (i) consider the continuous character of antimicrobial resistance -i.e. quantitative resistance- with varying degrees of intermediate resistance (called tolerance), and (ii) clarify the evolutionary relationships between virulence and quantitative resistance in colonizing parasites. Recommendations stemming from solid mathematical models are lacking to help fighting antimicrobial resistance. The QUASAR project will address this challenge through an approach combining predictive mathematical analysis, scientific computing, optimization-control of an integro-differential system with non-local terms, which is suitable to study evolutionary (epidemiological and within-host) dynamics of biological processes, without the time scale separation hypothesis.

Project leader : Ramsès Djidjou Demasse

Département : DS4,