Infectious Disease Dynamics & Surveillance
Michael E. DeWitt
Applied statistician & epidemiologist specializing in
Bayesian modeling,
surveillance systems,
& the dynamics of (re-)emerging pathogens.
I have experience in manufacturing, higher education, and health care. My research interests involve the detection, surveillance, and dynamics of new and emerging infectious diseases using mathematical and statistical models to improve public health. More specifically, I am particularly interested in the geospatial components of infectious diseases including the role of climate change, mobility patterns, evolution of contact patterns, and pathogen evolution; better understanding of delay distributions and infection ascertainment; and the role of modelling to rapidly inform public health measures.