Mathematical model of effects of environmental contamination and presence of volunteers on hospital infections in China

Simple item page
dc.contributor.authorXia Wang
dc.contributor.authorYanni Xiao
dc.contributor.authorJunrui Wang
dc.contributor.authorXinxin Lu
dc.date.accessioned2013-09-13T15:01:21Z
dc.date.available2013-09-13T15:01:21Z
dc.date.copyright2011
dc.date.issued2012
dc.description.abstractDeterministic and stochastic mathematical models were formulated to investigate the roles that environmental contamination and the presence of volunteers played in the dynamics of hospital infections in China. Semi-stochastic simulation was used to estimate some of the parameters by fitting the observed data and investigating the impacts of interventions such as cleaning, hand hygiene and isolation of admitted MRSA (Methicillin-resistant Staphylococcus aureus) patients on mean prevalence of infection. The basic reproduction number was estimated to be 0.9753. Numerical simulations show that environmental contamination is a threat to hospital infection and free-living bacteria in the environment can promote transmission and initiate infection even if an infection has died out among HCWs (health-care workers) and patients. Sensitivity analysis indicates that a contaminated environment and volunteers contribute substantially to MRSA transmission in hospital infections, and hence effective control measures should be targeted. Hand hygiene of volunteers and cleaning are more effective in reducing the mean prevalence of colonized patients than isolation of newly admitted MRSA-positive patients and hand hygiene of HCWs. Hence volunteers, a cadre of semi-professional nurses, are beneficial to both disease control and supplementary treatment of HCWs if they are well trained. However, isolation of newly admitted MRSA-positive patients could be influential and dominant in reducing the prevalence of infection when the environment within a ward is sufficiently clean.en
dc.formatTexten
dc.format.extent1 digital file (p. 161-173)en
dc.format.mimetypeapplication/pdf
dc.identifier.citationXia Wang, Yanni Xiao, Junrui Wang, & Xinxin Lu (2012). A mathematical model of effects of environmental contamination and presence of volunteers on hospital infections in China. Journal of Theoretical Biology, 293, 161-173.doi:10.1016/j.jtbi.2011.10.009en
dc.identifier.issn0022-5193
dc.identifier.urihttp://hdl.handle.net/10625/51658
dc.language.isoen
dc.publisherElsevieren
dc.subjectMETHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS (MRSA)en
dc.subjectINTERVENTIONen
dc.subjectPREVALENCEen
dc.subjectSEMI-STOCHASTIC SIMULATIONen
dc.subjectMODELLINGen
dc.subjectMATHEMATICAL MODELSen
dc.subjectCROSS INFECTIONen
dc.subjectHOSPITALSen
dc.subjectCHINAen
dc.subjectSANITATIONen
dc.subjectVOLUNTEERSen
dc.subjectEXPOSUREen
dc.titleMathematical model of effects of environmental contamination and presence of volunteers on hospital infections in Chinaen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holderElsevier Ltd.
idrc.dspace.accessIDRC Onlyen
idrc.noaccessDue to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d'auteur, le texte intégral de cet extrant de recherche n'est pas accessible dans la Bibliothèque numérique du CRDI, et il n'est pas possible d'en faire la demande à la Bibliothéque du CRDI.en
idrc.project.componentnumber104519010
idrc.project.componentnumber104519018
idrc.project.number104519
idrc.project.titleInternational Research Chairs Initiative (IRCI)en
idrc.recordsserver.bcsnumberIC01-3412-168
idrc.rims.adhocgroupIDRC SUPPORTEDen

Files

Collections

IDRC Research Results / Résultats de recherches du CRDI
2010-2019 / Années 2010-2019
Modelling and controlling infectious diseases / Se servir de la modélisation pour lutter contre les maladies infectieuses