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Day 2 | 4:30 PM–5:00 PM "A Transportation-Based SEIR Model for Infectious Disease Prediction" Presented by: Zachary M. Henderson, Central Michigan University, Mount Pleasant MI USA https://qubeshub.org/community/groups... Abstract: This project introduces a network-based SEIR (Susceptible-Exposed-Infectious-Recovered) model to simulate the spread of infectious diseases across the United States. Each location is represented as a node in the network, with connections (edges) weighted by daily flight transportation data to capture the influence of travel between them. To model the population, two state matrices are used to track the progression of individuals through the disease stages. The true state matrix represents the disease status of residents of each location, while the current state matrix accounts for everyone physically present in each location at a given time. Differential equations governing this system are derived and expressed in matrix form to describe how diseases spread between locations over time. Simulations produce spatial and temporal maps that illustrate how interconnected travel networks and population movements drive the dynamics of disease outbreaks.