UM SPH Courses taught by Koopman, James S

EPID524 AIDS: A Public Health Challenge

Winter term(s)
3 Credit Hour(s)
Instructor(s): Koopman, James S
Last offered Winter 2013
Not offered 2013-2014
Prerequisites: Upper Division or Grad Status
Description: Lectures will describe the fundamental issues necessary for understanding the public health crisis presented by the AIDS epidemiologic, including the virology of HIV, immune response and natural history, provision of care, prevention, legal/ethical issues. Includes opportunity for small group discussion of policy formulation. For those students satisfactorily completing a paper on a special topic in AIDS, an additional credit hour is available.

Fall term(s)
3 Credit Hour(s)
Instructor(s): Koopman, James S
Not offered 2013-2014
Prerequisites: Epid 605
Description: This course focuses on how decisions regarding infection control are influenced by transmission dynamics. The use of simple point and click modeling strategies to inform such decisions is taught with the help of an introductory infectious disease modeling text. Students learn how to formulate and analyze both deterministic and stochastic dynamic system models of infection transmission. Students improve their intuitions in situations where uninformed decisions are often wrong. Control decisions relevant to vaccination, environmental interventions, sexually transmitted disease diagnosis and treatment, and exposure reduction are modeled. Only knowledge of simple algebraic principles is assumed. In class group decision exercises in computer modeling laboratories are the main mode of teaching. For a term paper students formulate and analyze models to inform control decisions for any infectious disease problem that interests them.

Fall term(s)
3 Credit Hour(s)
Instructor(s): Koopman, James S
Offered every year
Last offered Fall 2011
Not offered 2013-2014
Prerequisites: EPID 503 or EPID 601 or equiv and Perm. Instr.
Description: This course deals with dynamics of disease in populations. The student learns how to construct simulations of disease processes in populations using deterministic, continuous state space, computer simulation software. Using these simulations the student learns how the parameters of causal models relate to epidemiological parameters and the statistics that are commonly calculated from epidemiological data. The simulation capabilities acquired are intended to improve the student’s ability to develop and evaluate causal models and explore the consequences of specific theories. Temporal and exposure group patterns in non-communicable disease are emphasized. An introduction to communicable disease transmission system analysis is also presented.