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Outbreak Science

  • 1. Reed-Frost dynamics
  • 2. Compartmental models
  • 3. Simulating the Reed-Frost model
  • 4. Montecarlo sampling and the Reed-Frost model under intervention
  • 5. Simulating Compartmental models
  • 6. Estimating Epidemic models from observations
  • 7. A start to stochastic network models
  • 8. Multi-species models
  • 9. Discrete time Kermack-McKendrick Model
  • 10. Fixed points and linear stability
  • 11. Temporal forcing and time-dependent parameters
  • 12. Stochastic epidemic models
  • 13. Metapopulation models
  • 14. LTCF application
  • 15. Cellular automota
  • 16. Bayesian Learning
  • 17. Computational Posterior
  • 18. Final for Outbreak Science I
  • 19. Grad homework one: Binomial proportions and Snow
  • 20. Grad Homework Two: Oswego County and the Chi-square test
  • Repository
  • Open issue

Index

By Tom McAndrew

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