# Mathematical Biology Seminar

### Marc Lipsitch

Department of Epidemiology, Harvard University

#### Modeling and simulation to support trial design for complex interventions in infectious disease

#### Friday, March 10, 2017, at 3:05pm

LCB 219

For interventions to control infectious diseases, many factors may invalidate
standard assumptions underlying the design of clinical trials. These include the
existence of indirect (spillover, herd) effects on those in the trial and in the
general population, heterogeneity of host susceptibility or of intervention
effects, and interplay between the intervention and the natural course of
participants' experience of infection and acquisition of immunity. I will describe
some of these conditions that make trial design challenging, and then give 3-4
examples of the use of models/simulations (of varying mathematical/computational
structure) to assist in the design and evaluation of infectious disease
intervention trials.