An interactive data visualisation application to investigate nosocomial transmission of infections.

ABSTRACT: Background: Healthcare-associated infections represent a major threat to patient, staff and visitor safety. Identification of episodes that are likely to have resulted from nosocomial transmission has important implications for infection control. Routinely collected data on ward admissions and sample dates, combined with pathogen genomic information could provide useful insights. We describe a novel, open-source, application for visualising these data, and demonstrate its utility for investigating nosocomial transmission using a case study of a large outbreak of norovirus infection. Methods: We developed the application using Shiny, a web application framework for R. For the norovirus case study, cases were defined as patients who had a faecal sample collected at the hospital

SUBMITTER: Smith CM 

PROVIDER: S-EPMC6668043 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature