Literature DB >> 16377533

Mathematical modelling: a tool for hospital infection control.

H Grundmann1, B Hellriegel.   

Abstract

Health-care-associated infections caused by antibiotic-resistant pathogens have become a menace in hospitals worldwide and infection control measures have lead to vastly different outcomes in different countries. During the past 6 years, a theoretical framework based on mathematical models has emerged that provides solid and testable hypotheses and opens the road to a quantitative assessment of the main obstructions that undermine current efforts to control the spread of health-care-associated infections in hospitals and communities. We aim to explain to a broader audience of professionals in health care, infection control, and health systems administration some of these models that can improve the understanding of the hidden dynamics of health-care-associated infections. We also appraise their usefulness and limitations as an innovative research and decision tool for control purposes.

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Year:  2006        PMID: 16377533     DOI: 10.1016/S1473-3099(05)70325-X

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  43 in total

1.  Modeling antibiotic resistance in hospitals: the impact of minimizing treatment duration.

Authors:  Erika M C D'Agata; Pierre Magal; Damien Olivier; Shigui Ruan; Glenn F Webb
Journal:  J Theor Biol       Date:  2007-08-25       Impact factor: 2.691

2.  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

3.  Senescence and antibiotic resistance in an age-structured population model.

Authors:  Patrick De Leenheer; Jack Dockery; Tomás Gedeon; Sergei S Pilyugin
Journal:  J Math Biol       Date:  2009-11-12       Impact factor: 2.259

Review 4.  Novel Strategies for the Management of Vancomycin-Resistant Enterococcal Infections.

Authors:  German A Contreras; Jose M Munita; Cesar A Arias
Journal:  Curr Infect Dis Rep       Date:  2019-05-22       Impact factor: 3.725

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

Authors:  J Wang; L Wang; P Magal; Y Wang; J Zhuo; X Lu; S Ruan
Journal:  J Hosp Infect       Date:  2011-10-26       Impact factor: 3.926

Review 6.  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

7.  Infectious Dose Dictates the Host Response during Staphylococcus aureus Orthopedic-Implant Biofilm Infection.

Authors:  Debbie Vidlak; Tammy Kielian
Journal:  Infect Immun       Date:  2016-06-23       Impact factor: 3.441

8.  Peripatetic health-care workers as potential superspreaders.

Authors:  Laura Temime; Lulla Opatowski; Yohan Pannet; Christian Brun-Buisson; Pierre Yves Boëlle; Didier Guillemot
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-19       Impact factor: 11.205

9.  Interleukin-10 production by myeloid-derived suppressor cells contributes to bacterial persistence during Staphylococcus aureus orthopedic biofilm infection.

Authors:  Cortney E Heim; Debbie Vidlak; Tammy Kielian
Journal:  J Leukoc Biol       Date:  2015-07-31       Impact factor: 4.962

10.  The impact of different antibiotic regimens on the emergence of antimicrobial-resistant bacteria.

Authors:  Erika M C D'Agata; Myrielle Dupont-Rouzeyrol; Pierre Magal; Damien Olivier; Shigui Ruan
Journal:  PLoS One       Date:  2008-12-29       Impact factor: 3.240

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