Literature DB >> 25419775

Optimizing hospital infection control: the role of mathematical modeling.

Tan N Doan1, David C M Kong, Carl M J Kirkpatrick, Emma S McBryde.   

Abstract

Multidrug-resistant bacteria are major causes of nosocomial infections and are associated with considerable morbidity, mortality, and healthcare costs. Preventive strategies have therefore become increasingly important. Mathematical modeling has been widely used to understand the transmission dynamics of nosocomial infections and the quantitative effects of infection control measures. This review will explore the principles of mathematical modeling used in nosocomial infections and discuss the effectiveness of infection control measures investigated using mathematical modeling.

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Year:  2014        PMID： 25419775     DOI： 10.1086/678596

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN： 0899-823X            Impact factor:   3.254


  11 in total

Review 1.  Expanding the statistical toolbox: analytic approaches for cohort studies with healthcare-associated infectious outcomes.

Authors:  Rebecca A Pierce; Justin Lessler; Aaron M Milstone
Journal:  Curr Opin Infect Dis       Date:  2015-08       Impact factor: 4.915

2.  Identifying asymptomatic spreaders of antimicrobial-resistant pathogens in hospital settings.

Authors:  Sen Pei; Fredrik Liljeros; Jeffrey Shaman
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

3.  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

4.  A stochastic model for MRSA transmission within a hospital ward incorporating environmental contamination.

Authors:  X J Lee; G R Fulford; A N Pettitt; F Ruggeri
Journal:  Epidemiol Infect       Date:  2016-12-12       Impact factor: 4.434

5.  Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review.

Authors:  D E Ramsay; J Invik; S L Checkley; S P Gow; N D Osgood; C L Waldner
Journal:  Epidemiol Infect       Date:  2018-07-31       Impact factor: 4.434

6.  Characterising the Transmission Dynamics of Acinetobacter baumannii in Intensive Care Units Using Hidden Markov Models.

Authors:  Tan N Doan; David C M Kong; Caroline Marshall; Carl M J Kirkpatrick; Emma S McBryde
Journal:  PLoS One       Date:  2015-07-01       Impact factor: 3.240

7.  An in silico evaluation of treatment regimens for recurrent Clostridium difficile infection.

Authors:  Natalia Blanco; Betsy Foxman; Anurag N Malani; Min Zhang; Seth Walk; Alexander H Rickard; Marisa C Eisenberg
Journal:  PLoS One       Date:  2017-08-11       Impact factor: 3.240

8.  General Practitioner Antimicrobial Stewardship Programme Study (GAPS): protocol for a cluster randomised controlled trial.

Authors:  Minyon L Avent; Malene Plejdrup Hansen; Charles Gilks; Chris Del Mar; Kate Halton; Hanna Sidjabat; Lisa Hall; Annette Dobson; David L Paterson; Mieke L van Driel
Journal:  BMC Fam Pract       Date:  2016-04-21       Impact factor: 2.497

9.  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

10.  Universal or targeted approach to prevent the transmission of extended-spectrum beta-lactamase-producing Enterobacteriaceae in intensive care units: a cost-effectiveness analysis.

Authors:  Lidia Kardaś-Słoma; Jean-Christophe Lucet; Anne Perozziello; Camille Pelat; Gabriel Birgand; Etienne Ruppé; Pierre-Yves Boëlle; Antoine Andremont; Yazdan Yazdanpanah
Journal:  BMJ Open       Date:  2017-11-03       Impact factor: 2.692
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