SEITRNet++ is the updated network simulation (SEITRNet). Experiment on how contact network topology reshapes intervention strategies
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Updated
May 2, 2026 - Jupyter Notebook
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seitr
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This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals, allowing for various network types and parameters.
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Updated
May 2, 2026 - R
Implementing Pontryagin-based optimal control of the deterministic SEITR system and a numerically-optimized treatment policy for its stochastic network analogue, with cross-formulation comparison.
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Updated
May 1, 2026 - Jupyter Notebook
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