Présentation
Despite advances in modern biology and medicine, antibiotic-resistant bacteria (ARB) have spread in the community and in hospitals over the last decades, becoming a major public health problem. Mathematical modeling and computer simulations are powerful tools which can help public-health practitioners examine possible courses of dissemination of ARB and assess the efficacy of control strategies.
In this series of works, we use dynamic modelling and statistical inference approaches to understand better the spread of different types of ARB integrating various scales: within hosts, individuals (including patients and health care workers) and between-individual transmission within hospital wards.
Keywords: Bacteria, Antibiotic-resistance, Hospital, Transmission, Modelling, Statistical Inference, Public Health Impact