A unified stochastic modelling framework for the spread of nosocomial infections.

ABSTRACT: Over the last years, a number of stochastic models have been proposed for analysing the spread of nosocomial infections in hospital settings. These models often account for a number of factors governing the spread dynamics: spontaneous patient colonization, patient-staff contamination/colonization, environmental contamination, patient cohorting or healthcare workers (HCWs) hand-washing compliance levels. For each model, tailor-designed methods are implemented in order to analyse the dynamics of the nosocomial outbreak, usually by means of studying quantities of interest such as the reproduction number of each agent in the hospital ward, which is usually computed by means of stochastic simulations or deterministic approximations. In this work, we propose a highly versatile stochastic modell

SUBMITTER: Lopez-Garcia M 

PROVIDER: S-EPMC6030628 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature