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: 

Prashant Kumar Srivastava, Indian Institute of Technology Patna
pksri@iitp.ac.in

Co-Chair:
Binod Pant, Northeastern University

b.pant@northeastern.edu

Past Chair:

Meredith Greer, Bates College
mgreer@bates.edu

Advisory Committee:
Miranda Teboh-Ewungkem, U.S. Department of Defense

Lauren Childs, Virginia Tech

Michael Robert, Virginia Tech

Social Media:
Twitter: #SMBMathEpi