Mathematical Epidemiology

The Mathematical Epidemiology Subgroup brings together scholars interested in dynamical modeling and statistical analysis of the spread of infectious diseases. Topics of interest to the group include: deterministic and stochastic modeling of population dynamics of infectious diseases; statistical analysis of population-level infectious disease data; describing and modeling human behavioral decisions in relation to infectious diseases; control and eradication strategies for endemic infections; prevention and response strategies for emerging and re-emerging infections; effects of antimicrobial resistance; policy implications. 

Chair: Michael Robert michaelrobert@vt.edu.
Co-chair/Secretary: Meredith Greer mgreer@bates.edu.
Advisory Committee: Jane Heffernan, Zhilan Feng, David Earn 

Twitter: #SMBMathEpi