European Conference on Mathematical and Theoretical Biology (ECMTB 2026)

Mathematical Modeling of Infectious Diseases: Classical Foundations to Contemporary Approaches

Not scheduled

20m

University of Graz

Minisymposium Mathematical Epidemiology Mathematical Modeling of Infectious Diseases: Classical Foundations to Contemporary Approaches

Speakers

Stacey Smith? (The University of Ottawa, Canada) Nir Gavish (Technion Israel Institute of Technology) Jia Zhao (The University of Alabama, USA) Arnaja Mitra (University of Maryland) Alex Safsten (University of Maryland, USA) Ben Bruncati (Virginia Tech, USA) Prashant Kumar Srivastava (Indian Institute of Technology Patna) Hannah Hirsch (Osnabrück University, Germany)

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 vector borne diseases and their epidemiology, age-targeted vaccination, co-infection of plants and models with Generative-AI driven agents, 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.

The titles of each contributor is provided in the comment.