An Agent Based Model of TularemiaOliver Attie and Simon Daefler*
Mount Sinai School of Medicine, One Gustave Levy Place, New York, USA
- *Corresponding Author:
- Simon Daefler
Mount Sinai School of Medicine
One Gustave Levy Place
New York, NY 10570, USA
E-mail: [email protected]
Received date: November 26, 2012; Accepted date: January 28, 2013; Published date: February 05, 2013
Citation: Attie O, Daefler S (2013) An Agent Based Model of Tularemia. J Data Mining Genomics Proteomics 4:125. doi:10.4172/2153-0602.1000125
Copyright: © 2013 Attie O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Francisella tularensis is a formidable intracellular pathogen. Upon inhalation it leads to systemic disease (tularemia) with a high mortality rate. We sought here to develop a computational tool for infections with this class. A bio-threat microbe for which extensive datasets are not available to infer parameters that might determine the outcome of the infection. We present a two-compartment agent based model that simulates inhalational tularemia with subsequent dissemination to the liver and incorporates experimental data and validated general parameters of host defense mechanisms. This systems approach suggests that the initial number of macrophages, the probability of dissemination, and the initial clearance rate of bacteria correlate with the outcome of infections with Francisella. These findings underline the importance of early innate immune defense mechanisms in the prevention of tularemia.