Mathematical Epidemiology: Infectious disease modeling across time, space, and scale

Organizers:

Meredith Greer, Prashant Kumar Srivastava, Michael Robert (Bates College), Prashant Kumar Srivastava (Indian Institute of Technology, Patna) and Michael Robert (Virginia Tech)

Description:

Work within the mathematical epidemiology subgroup focuses on critical questions about the emergence, spread, and control of infectious diseases at multiple scales, and to study these questions, we must develop and implement a variety of tools. In this mini-symposium, we feature work across a broad spectrum of infectious disease modeling research and highlight work that members of the SMB Mathematical Epidemiology subgroup have been doing over the past year. This minisymposium will feature work addressing issues in parameter estimation, population heterogeneity, and modeling control efforts, among other important topics, and feature the work of a diverse group of mathematical biologists who are implementing traditional and novel methods to study questions in mathematical epidemiology.

Diversity Statement:

We requested nominations from the complete Mathematical Epidemiology subgroup list. From 17 total nominations, we selected speakers representing five countries (four from the U.S. and one each from Brazil, Mexico, South Korea, and Italy), four continents, and a range of position levels (one graduate student, two postdocs, one acting instructor, two assistant or tenure-track professors, and two full professors). To our understanding, four of our speakers identify as male, and four as female.