Literature DB >> 22033439

Modelling the transmission dynamics of meticillin-resistant Staphylococcus aureus in Beijing Tongren hospital.

J Wang1, L Wang, P Magal, Y Wang, J Zhuo, X Lu, S Ruan.   

Abstract

Semi-professional volunteers work in many tertiary care hospitals in China as healthcare assistants. Proper infection control measures are needed to reduce nosocomial transmission involving volunteers. A compartmental model was constructed to describe the transmission characteristics of meticillin-resistant Staphylococcus aureus (MRSA) in the emergency ward (EW) and respiratory intensive care unit (RICU) for volunteers in Beijing Tongren Hospital, Beijing, China. The model consists of components describing uncolonized and colonized patients, uncontaminated and contaminated healthcare workers (HCWs), and uncontaminated and contaminated volunteers. The basic reproduction number (R(0)) was calculated, and the dependence of R(0) on various model parameters was analysed. Moreover, simulations of the model were performed for comparision with the reported data on the numbers of colonized patients in the EW and RICU from 3 March 2009 to 28 February 2010, respectively. Sensitivity analysis of R(0) showed that increasing handwashing compliance among HCWs and volunteers would reduce the risk of transmission dramatically. As volunteers care for patients on a one-to-one basis, this study showed that the number of MRSA-positive patients would increase if volunteers were replaced by HCWs. Therefore, in addition to improving hand hygiene among HCWs, the employment of properly trained volunteers is an attractive alternative to decrease MRSA and other multi-drug resistant bacteria infections in the hospital setting.
Copyright © 2011 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22033439      PMCID: PMC3215835          DOI: 10.1016/j.jhin.2011.08.019

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   3.926


  26 in total

Review 1.  Mathematical modelling: a tool for hospital infection control.

Authors:  H Grundmann; B Hellriegel
Journal:  Lancet Infect Dis       Date:  2006-01       Impact factor: 25.071

Review 2.  Confronting models with data.

Authors:  Ben S Cooper
Journal:  J Hosp Infect       Date:  2007-06       Impact factor: 3.926

3.  Prevalence and risk factors for meticillin-resistant Staphylococcus aureus in adult emergency admissions--a case for screening all patients?

Authors:  G Gopal Rao; P Michalczyk; N Nayeem; G Walker; L Wigmore
Journal:  J Hosp Infect       Date:  2007-03-21       Impact factor: 3.926

4.  A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: predicting the impact of interventions.

Authors:  E S McBryde; A N Pettitt; D L S McElwain
Journal:  J Theor Biol       Date:  2006-11-17       Impact factor: 2.691

Review 5.  The influence of nurse cohorting on hand hygiene effectiveness.

Authors:  Clive B Beggs; Catherine J Noakes; Simon J Shepherd; Kevin G Kerr; P Andrew Sleigh; Katherine Banfield
Journal:  Am J Infect Control       Date:  2006-12       Impact factor: 2.918

6.  The effect of workload on infection risk in critically ill patients.

Authors:  Stéphane Hugonnet; Jean-Claude Chevrolet; Didier Pittet
Journal:  Crit Care Med       Date:  2007-01       Impact factor: 7.598

7.  Risk factors for methicillin-resistant Staphylococcus aureus (MRSA) acquisition in roommate contacts of patients colonized or infected with MRSA in an acute-care hospital.

Authors:  Christine Moore; Jastej Dhaliwal; Agnes Tong; Sarah Eden; Cindi Wigston; Barbara Willey; Allison McGeer
Journal:  Infect Control Hosp Epidemiol       Date:  2008-07       Impact factor: 3.254

8.  Modeling the invasion of community-acquired methicillin-resistant Staphylococcus aureus into hospitals.

Authors:  Erica M C D'Agata; Glenn F Webb; Mary Ann Horn; Robert C Moellering; Shigui Ruan
Journal:  Clin Infect Dis       Date:  2009-02-01       Impact factor: 9.079

9.  In vitro activity of ceftobiprole, linezolid, tigecycline, and 23 other antimicrobial agents against Staphylococcus aureus isolates in China.

Authors:  Hui Wang; Yudong Liu; Hongli Sun; Yingchun Xu; Xiuli Xie; Minjun Chen
Journal:  Diagn Microbiol Infect Dis       Date:  2008-07-23       Impact factor: 2.803

10.  Meticillin-resistant Staphylococcus aureus (MRSA) in hospitals and the community: model predictions based on the UK situation.

Authors:  J V Robotham; C A Scarff; D R Jenkins; G F Medley
Journal:  J Hosp Infect       Date:  2007-06       Impact factor: 3.926

View more
  14 in total

1.  Transmission dynamics of methicillin-resistant Staphylococcus aureus in a medical intensive care unit.

Authors:  Ian M Hall; Iain Barrass; Steve Leach; Didier Pittet; Stéphane Hugonnet
Journal:  J R Soc Interface       Date:  2012-05-09       Impact factor: 4.118

2.  Modelling of the transmission dynamics of carbapenem-resistant Klebsiella pneumoniae in hospitals and design of control strategies.

Authors:  Suttikiat Changruenngam; Charin Modchang; Dominique J Bicout
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.996

3.  Prevention of hospital infections by intervention and training (PROHIBIT): results of a pan-European cluster-randomized multicentre study to reduce central venous catheter-related bloodstream infections.

Authors:  Tjallie van der Kooi; Hugo Sax; Didier Pittet; Jaap van Dissel; Birgit van Benthem; Bernhard Walder; Vanessa Cartier; Lauren Clack; Sabine de Greeff; Martin Wolkewitz; Stefanie Hieke; Hendriek Boshuizen; Jan van de Kassteele; Annemie Van den Abeele; Teck Wee Boo; Magda Diab-Elschahawi; Uga Dumpis; Camelia Ghita; Susan FitzGerald; Tatjana Lejko; Kris Leleu; Mercedes Palomar Martinez; Olga Paniara; Márta Patyi; Paweł Schab; Annibale Raglio; Emese Szilágyi; Mirosław Ziętkiewicz; Albert W Wu; Hajo Grundmann; Walter Zingg
Journal:  Intensive Care Med       Date:  2017-12-16       Impact factor: 17.440

4.  The Regional Healthcare Ecosystem Analyst (RHEA): a simulation modeling tool to assist infectious disease control in a health system.

Authors:  Bruce Y Lee; Kim F Wong; Sarah M Bartsch; S Levent Yilmaz; Taliser R Avery; Shawn T Brown; Yeohan Song; Ashima Singh; Diane S Kim; Susan S Huang
Journal:  J Am Med Inform Assoc       Date:  2013-04-09       Impact factor: 4.497

Review 5.  What should be considered if you decide to build your own mathematical model for predicting the development of bacterial resistance? Recommendations based on a systematic review of the literature.

Authors:  Maria Arepeva; Alexey Kolbin; Alexey Kurylev; Julia Balykina; Sergey Sidorenko
Journal:  Front Microbiol       Date:  2015-04-29       Impact factor: 5.640

Review 6.  Modelling the transmission of healthcare associated infections: a systematic review.

Authors:  Esther van Kleef; Julie V Robotham; Mark Jit; Sarah R Deeny; William J Edmunds
Journal:  BMC Infect Dis       Date:  2013-06-28       Impact factor: 3.090

7.  Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination<sup/>.

Authors:  Lei Wang; Shigui Ruan
Journal:  Sci Rep       Date:  2017-04-03       Impact factor: 4.379

8.  A data-driven mathematical model of CA-MRSA transmission among age groups: evaluating the effect of control interventions.

Authors:  Xiaoxia Wang; Sarada Panchanathan; Gerardo Chowell
Journal:  PLoS Comput Biol       Date:  2013-11-21       Impact factor: 4.475

9.  The dynamics of methicillin-resistant Staphylococcus aureus exposure in a hospital model and the potential for environmental intervention.

Authors:  Nottasorn Plipat; Ian H Spicknall; James S Koopman; Joseph Ns Eisenberg
Journal:  BMC Infect Dis       Date:  2013-12-17       Impact factor: 3.090

10.  Modeling the impact of interventions against Acinetobacter baumannii transmission in intensive care units.

Authors:  Tan N Doan; David C M Kong; Caroline Marshall; Carl M J Kirkpatrick; Emma S McBryde
Journal:  Virulence       Date:  2015-08-07       Impact factor: 5.882

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.