COLLOQUIUM

DEPARTMENT OF MATHEMATICS AND STATISTICS

OAKLAND UNIVERSITY

ROCHESTER, MICHIGAN  48309

Linda Allen

Department of Mathematics and Statistics

Texas Tech University

Lubbock, Texas

Stochastic Models in Epidemiology and Immunology

Abstract

Stochastic models are becoming increasingly important in modeling the variability of birth, death and transmission processes in epidemiology and in immunology. Stochastic differential equation models for spread of an epidemic in a population and for spread of a virus within a host will be formulated.  Differences between the stochastic models and the underlying deterministic models will be highlighted.  Some applications to hantaviruses, rodent-borne zoonotic agents, responsible for two emerging human diseases, hantavirus cardiopulmonary syndrome and hemorrhagic fever with renal syndrome, will be discussed.

Thursday, March 25, 2010

3:00 – 4:00 P.M.

372 Science and Engineering Building

(Refreshments at 2:30-3:00 PM in the kitchen area adjacent to 368 SEB)