Dynamics of antibiotic resistant bacteria – what can we learn from models?
Antibiotic resistance is a major public health challenge. Preventing the spread of antibiotic resistant bacteria (ARB) requires a thorough understanding of the factors that contribute to their transmission and selection. However, many of the mechanisms and factors involved in the emergence, transmission and selection of ARB are not yet fully understood. Healthcare settings, such as hospitals, pose a high risk for epidemics of ARB due to the concentration of at-risk patients, frequent use of antibiotics, and high density of contact between individuals. I will illustrate how models, when combined with ad hoc epidemiological data can provide insight into transmission specificities and can provide support the implementation of control measures.
In-person event. If you wish to join online, please register here.
