Hostname: page-component-77c89778f8-rkxrd Total loading time: 0 Render date: 2024-07-19T13:59:32.105Z Has data issue: false hasContentIssue false
  • English
  • Français

Of Models and Methods: Our Analytic Armamentarium Applied to Methicillin-Resistant Staphylococcus aureus

Published online by Cambridge University Press:  21 June 2016

Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Editorial
Information
Infection Control & Hospital Epidemiology , Volume 26 , Issue 7 , July 2005 , pp. 594 - 597
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2005

References

1.Wise, RI, Ossman, EA, Littlefield, DR. Personal reflections on nosocomial staphylococcal infections and the development of hospital surveillance. Rev Infect Dis 1989;11:1005–1019.Google Scholar
2.Forrester, M, Pettitt, AN. Use of stochastic epidemic modeling to quantify transmission rates of colonization with methicillin-resistant Staphylococcus aureus in an intensive care unit. Infect Control Hosp Epidemiol 2005;26:598–606.Google Scholar
3.Raboud, J, Saskin, R, Simor, A, et al.Modeling transmission of methicillin-resistant Staphylococcus aureus among patients admitted to a hospital. Infect Control Hosp Epidemiol 2005;26:607–615.Google Scholar
4.Khoury, J, Jones, M, Grim, A, Dunne, WM Jr, Fraser, V. Eradication of methicillin-resistant Staphylococcus aureus from a neonatal intensive care unit by active surveillance and aggressive infection control measures. Infect Control Hosp Epidemiol 2005;26:616–621.Google Scholar
5.Keene, A, Vavagiakis, P, Lee, M-H, et al.Staphylococcus aureus colonization and the risk of infection in critically ill patients. Infect Control Hosp Epidemiol 2005;26:622–628.CrossRefGoogle ScholarPubMed
6.Elliott, JP, Istwan, NB, Collins, A, Rhea, D, Stanziano, G. Indicated and non-indicated preterm delivery in twin gestations: impact on neonatal outcome and cost. J Perinatol 2005;25:4–7.Google Scholar
7.Apisarnthanarak, A, Holzmann-Pazgal, G, Hamvas, A, Olsen, MA, Fraser, VJ. Ventilator-associated pneumonia in extremely preterm neonates in a neonatal intensive care unit: characteristics, risk factors, and outcomes. Pediatrics 2003;112:1283–1289.Google Scholar
8.Gilbert, WM, Nesbitt, TS, Danielsen, B. The cost of prematurity: quantification by gestational age and birth weight. Obstet Gynecol 2003; 102:488–492.Google ScholarPubMed
9.McGregor, JC, Kim, PW, Perencevich, EN, et al.Utility of the Chronic Disease Score and Charlson Comorbidity Index as comorbidity measures for use in epidemiologic studies of antibiotic-resistant organisms. Am J Epidemiol 2005;161:483–493.Google Scholar
10.Furuno, JP, Harris, AD, Wright, MO, et al.Prediction rules to identify patients with methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci upon hospital admission. Am J Infect Control 2004;32:436–440.Google Scholar
11.Kluytmans, J, van Belkum, A, Verbrugh, H. Nasal carriage of Staphylococcus aureus: epidemiology, underlying mechanisms, and associated risks. Clin Microbiol Rev 1997;10:505–520.Google Scholar
12.von Eiff, C, Becker, K, Machka, K, Stammer, H, Peters, G. Nasal carriage as a source of Staphylococcus aureus bacteremia. N Engl J Med 2001;344:11–16.Google Scholar
13.Wertheim, HF, Vos, MC, Ott, A, et al.Risk and outcome of nosocomial Staphylococcus aureus bacteraemia in nasal carriers versus non-carriers. Lancet 2004;364:703–705.Google Scholar
14.Perencevich, EN, Fisman, DN, Lipsitch, M, Harris, AD, Morris, JG Jr, Smith, DL. Projected benefits of active surveillance for vancomycin-resistant enterococci in intensive care units. Clin Infect Dis 2004;38:1108–1115.CrossRefGoogle ScholarPubMed
15.Pelupessy, I, Bonten, MJ, Diekmann, O. How to assess the relative importance of different colonization routes of pathogens within hospital settings. Proc Natl Acad Sci USA 2002;99:5601–5605.CrossRefGoogle ScholarPubMed
16.Bonten, MJ, Austin, DJ, Lipsitch, M. Understanding the spread of antibiotic resistant pathogens in hospitals: mathematical models as tools for control. Clin Infect Dis 2001;33:1739–1746.Google Scholar
17.Austin, DJ, Bonten, MJ, Weinstein, RA, Slaughter, S, Anderson, RM. Vancomycin-resistant enterococci in intensive-care hospital settings: transmission dynamics, persistence, and the impact of infection control programs. Proc Natl Acad Sci USA 1999;96:6908–6913.CrossRefGoogle ScholarPubMed
18.Austin, DJ, Anderson, RM. Studies of antibiotic resistance within the patient, hospitals and the community using simple mathematical models. Philos Trans R Soc Lond B Biol Sci 1999;354:721–738.Google Scholar
19.Rothman, KJ, Sander, G. Modern Epidemiology, ed. 2. Philadelphia: Lippincott-Raven; 1998.Google Scholar
20.Fine, PEM. Applications of mathematical models to the epidemiology of influenza: a critique. In: Selby, P, ed. Influenza Models: Prospects for Development and Use. Lancaster: MTP Press; 1982:15–85.Google Scholar
21.Shadish, WR, Cook, TD, Campbell, DT. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin; 2002.Google Scholar