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- Title
Modeling the spread of infectious disease using genetic information within a marked branching process.
- Authors
Leman, Scotland C.; Levy, Foster; Walker, Elaine S.
- Abstract
Accurate assessment of disease dynamics requires a quantification of many unknown parameters governing disease transmission processes. While infection control strategies within hospital settings are stringent, some disease will be propagated due to human interactions (patient-to-patient or patient-to-caregiver-to-patient). In order to understand infectious transmission rates within the hospital, it is necessary to isolate the amount of disease that is endemic to the outside environment. While discerning the origins of disease is difficult when using ordinary spatio-temporal data (locations and time of disease detection), genotypes that are common to pathogens, with common sources, aid in distinguishing nosocomial infections from independent arrivals of the disease. The purpose of this study was to demonstrate a Bayesian modeling procedure for identifying nosocomial infections, and quantify the rate of these transmissions. We will demonstrate our method using a 10-year history of Morexella catarhallis. Results will show the degree to which pathogen-specific, genotypic information impacts inferences about the nosocomial rate of infection. Published in 2009 by John Wiley & Sons, Ltd.
- Publication
Statistics in Medicine, 2009, Vol 28, Issue 29, p3626
- ISSN
0277-6715
- Publication type
Article
- DOI
10.1002/sim.3714