title: Modelling the effect of antimicrobial treatment on carriage of hospital pathogens with application to MRSA.
abstract: Numerous studies have sought to assess the effectiveness of control measures aimed at reducing the spread of pathogens such as Methicillin-resistant Staphylococcus aureus (MRSA) in hospital settings. Far less is known about possible short-term effects of antibiotics and other antimicrobial treatments on pathogen carriage in patients. This paper is concerned with developing and applying methods for the analysis of detailed data on hospital patients which include information on patient treatments and screening tests for the pathogen in question. The carriage status (colonized, or not) of each patient is modelled as a Markov chain, and models for both perfect and imperfect test sensitivity are developed. Goodness-of-fit procedures based on simulation are also proposed. The methods are illustrated using both simulated data and data on MRSA.
authors.affiliation: School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK.
authors.forename: E
authors.initials: E
authors.lastname: Verykouki
authors.affiliation: School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK.
authors.forename: T
authors.initials: T
authors.lastname: Kypraios
authors.affiliation: School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK philip.oneill@nottingham.ac.uk.
authors.forename: P D
authors.initials: PD
authors.lastname: O'neill
mesh_terms: D000890:Anti-Infective Agents / Q000494:pharmacology*; D001499:Bayes Theorem; D003428:Cross Infection / Q000188:drug therapy* / Q000635:transmission*; D006801:Humans; D008390:Markov Chains; D055624:Methicillin-Resistant Staphylococcus aureus / Q000187:drug effects*; D015233:Models, Statistical; D013203:Staphylococcal Infections / Q000188:drug therapy* / Q000635:transmission*
chemical_list: D000890:Anti-Infective Agents
keywords: Bayesian inference; Goodness of fit; Hidden-Markov model; MRSA; Markov chain