Literature DB >> 17703226

Modelling an outbreak of an emerging pathogen.

Emily Kajita1, Justin T Okano, Erin N Bodine, Scott P Layne, Sally Blower.   

Abstract

To illustrate the usefulness of mathematical models to the microbiology and medical communities, we explain how to construct and apply a simple transmission model of an emerging pathogen. We chose to model, as a case study, a large (>8,000 reported cases) on-going outbreak of community-acquired meticillin-resistant Staphylococcus aureus (CA-MRSA) in the Los Angeles County Jail. A major risk factor for CA-MRSA infection is incarceration. Here, we show how to design a within-jail transmission model of CA-MRSA, parameterize the model and reconstruct the outbreak. The model is then used to assess the severity of the outbreak, predict the epidemiological consequences of a catastrophic outbreak and design effective interventions for outbreak control.

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Year:  2007        PMID: 17703226     DOI: 10.1038/nrmicro1660

Source DB:  PubMed          Journal:  Nat Rev Microbiol        ISSN: 1740-1526            Impact factor:   60.633


  34 in total

1.  Long-term follow-up of methicillin-resistant Staphylococcus aureus molecular epidemiology after emergence of clone USA300 in San Francisco jail populations.

Authors:  Pierre Tattevin; Binh An Diep; Michael Jula; Françoise Perdreau-Remington
Journal:  J Clin Microbiol       Date:  2008-10-15       Impact factor: 5.948

2.  Antibiotic reduction campaigns do not necessarily decrease bacterial resistance: the example of methicillin-resistant Staphylococcus aureus.

Authors:  Lidia Kardas-Sloma; Pierre-Yves Boëlle; Lulla Opatowski; Didier Guillemot; Laura Temime
Journal:  Antimicrob Agents Chemother       Date:  2013-07-01       Impact factor: 5.191

3.  Hand and nasal carriage of discordant Staphylococcus aureus isolates among urban jail detainees.

Authors:  Michael Z David; Jane D Siegel; Janet Henderson; Greg Leos; Kaming Lo; Jerry Iwuora; Alexis R Taylor; Diana L Zychowski; Esmaeil Porsa; Susan Boyle-Vavra; Robert S Daum
Journal:  J Clin Microbiol       Date:  2014-06-23       Impact factor: 5.948

4.  Comparative Evaluation of Two PCR-Based Methods for Detection of Methicillin-Resistant Staphylococcus aureus (MRSA): Xpert MRSA Gen 3 and BD-Max MRSA XT.

Authors:  Margaux Lepainteur; Sandrine Delattre; Sophie Cozza; Christine Lawrence; Anne-Laure Roux; Martin Rottman
Journal:  J Clin Microbiol       Date:  2015-04-15       Impact factor: 5.948

5.  Molecular characterization of methicillin-resistant Staphylococcus aureus clinical isolates obtained from the Rikers Island Jail System from 2009 to 2013.

Authors:  Joshua Tanner; Ying Lin; John Kornblum; Carolyn T A Herzig; Rachel Bystritsky; Anne-Catrin Uhlemann; Franklin D Lowy
Journal:  J Clin Microbiol       Date:  2014-06-04       Impact factor: 5.948

6.  The rise of methicillin-resistant staphylococcus aureus in U.S. correctional populations.

Authors:  Bianca Malcolm
Journal:  J Correct Health Care       Date:  2011-05-13

7.  The nosocomial transmission rate of animal-associated ST398 meticillin-resistant Staphylococcus aureus.

Authors:  Martin C J Bootsma; Marjan W M Wassenberg; Pieter Trapman; Marc J M Bonten
Journal:  J R Soc Interface       Date:  2010-09-22       Impact factor: 4.118

8.  An optimal control theory approach to non-pharmaceutical interventions.

Authors:  Feng Lin; Kumar Muthuraman; Mark Lawley
Journal:  BMC Infect Dis       Date:  2010-02-19       Impact factor: 3.090

9.  Co-opting the cell wall in fighting methicillin-resistant Staphylococcus aureus: potent inhibition of PBP 2a by two anti-MRSA beta-lactam antibiotics.

Authors:  Adriel Villegas-Estrada; Mijoon Lee; Dusan Hesek; Sergei B Vakulenko; Shahriar Mobashery
Journal:  J Am Chem Soc       Date:  2008-06-27       Impact factor: 15.419

10.  Rapid Emergence of Co-colonization with Community-acquired and Hospital-Acquired Methicillin-Resistant Staphylococcus aureus Strains in the Hospital Setting.

Authors:  E M C D'Agata; G F Webb; J Pressley
Journal:  Math Model Nat Phenom       Date:  2010       Impact factor: 4.157

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