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Posters (SDBW04)

 Stochastic modelling of intracellular particles

Francisella tularensis is a highly infectious Gram-negative bacterium that is the cause of the debilitating and sometimes fatal disease called tularemia whose sympthoms include fever, chills, malaise, sore throat and headache. It is capable of causing tularemia with doses as low as 25 colony-forming units and given that is highly infectious and lethal it is one of the six types of microbes which are classified by the U.S. Centers for Disease Control and Prevention as a category A agent. As a result, F. tularensis poses  a significant threat as a vehicle of bioterror. We want to model how the bacteria and other intracellular particles behave using stochastic processes.

University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons