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An epidemic modeler to track and predict the H5N1 Avian Influenza outbreak using compartmental models and generative agents.
For our primary projections, we use the SEIR compartmental model, a suitable mathematical model of infectious disease spread which groups populations into compartments of "susceptible," "exposed," "infected," or "recovered."
We also conduct simulations at the local level using a novel agent-based technique as described in the paper Epidemic Modeling with Generative Agents (arXiv:2307.04986).
Free and open source available on GitHub under the BSD license.
Days passed: 0
Simulation speed (days per second):
Transmission rate (avian): 0.2
Incubation (avian): 0.2
Recovery rate (avian): 0.1
Recovery rate (human): 0.2
Incubation (human): 0.2
Recovery rate (human): 0.1
Human infection coefficient: 0.5