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.
Monsieur Ramses Djidjou-Demasse (Maladies Infectieuses et Vecteurs : Ecologie, Génétique, Evolution et Contrôle)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
MIVEGEC Maladies Infectieuses et Vecteurs : Ecologie, Génétique, Evolution et Contrôle
Help of the ANR 273,300 euros
Beginning and duration of the scientific project:
February 2022
- 36 Months
