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Organizers:
Michael A. Robert (Virginia Tech)
Description:
Mathematical models are important for designing and evaluating control strategies for infectious diseases. Models are useful for proposing new control strategies, comparing strategies against one another, and assessing the efficacy of strategies that were implemented during outbreaks. Model results can then be used to inform policy at multiple organization levels from regional approaches to outbreak response to optimization of resources for managing large outbreaks. In this mini-symposium, we review recent modeling work that focuses on control of infectious diseases and the factors that contribute–or impede–successful control. The talks in the mini-symposium will address issues in control related to pathogens, the environment, population heterogeneities, and host behavior.
Diversity Statement:
Our mini-symposium features 4 speakers across as many career stages: 1 Full Professor, 1 mid-career senior researcher at a U.S. National Lab, 1 postdoctoral associate, and 1 graduate student. The gender breakdown of our mini-symposium is 50%% male and 50%% female. Additionally, our mini-symposium features 1 speaker from a historically under represented group in STEM, 1 speaker whose national origin is South Asian, and 1 speaker who identifies as trans.
Stacey Smith? (University of Ottawa)
"Could COVID-19 mask and vaccine mandates have made a difference if they were rolled out earlier?"
Indunil M. Hewage (Washington State University)
"Controlling the spread of COVID-19 through double-dose vaccination"
Keoni Castellan (Virginia Tech)
"Spatial Heterogeneity and its Effect on Infectious Disease Spread"
Carrie Manore (Los Alamos National Lab)
"Designing Models and Forecasts with Non-Traditional Data to Assess Interventions and Prevention"
