van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS. 2017. R code: why sensitive bacteria are resistant to hospital infection control. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.1045530
van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS. R code: why sensitive bacteria are resistant to hospital infection control [Internet]. Zenodo; 2017. Available from: https://doi.org/10.5281/zenodo.1045530
van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS (2017). R code: why sensitive bacteria are resistant to hospital infection control. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1045530
Description
This model simulates the transmission dynamics of two competing strains, i.e. a hospital-adapted resistant strain and a community-adapted sensitive strain, in the hospital and its catchment area. This release contains additional sensitivity analysis showing the impact of changing the degree of bacterial inference and mixing. It has been argued that since infection control measures, such as hand hygiene, should affect resistant and sensitive strains equally, observed discordant changes must have largely resulted from other factors, such as changes in antibiotic use. This model is used to test the validity of this reasoning.
Data capture method | Simulation |
---|---|
Date (Date published in a 3rd party system) | 2 November 2017 |
Language(s) of written materials | English |
Data Creators | van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS |
---|---|
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Administration |
Participating Institutions | Oxford University, Oxford, United Kingdom, London School of Hygiene & Tropical Medicine, London, United Kingdom, University Medical Centre Utrecht, Utrecht, Netherlands |
Funders |
|
---|
Date Deposited | 15 May 2017 11:09 |
---|---|
Last Modified | 03 Jun 2021 14:53 |
Publisher | Zenodo |