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1. Chapter 4 Inference for Continuous Time SIR models

2. Chapter 2 Inference for Markov Chain Epidemic Models

3. Observations and Asymptotic Frameworks

4. Chapter 3 Inference Based on the Diffusion Approximation of Epidemic Models

5. Chapter 2 The Reproduction Number R0

6. Chapter 1 Random Graphs

7. Chapter 3 SIR Epidemics on Configuration Model Graphs

8. Chapter 4 Statistical Description of Epidemics Spreading on Networks: The Case of Cuban HIV

9. Chapter 2 The Households Model

10. Chapter 3 A General Two-Level Mixing Model

11. Chapter 1 Single Population Epidemics

12. Chapter 3 General Closed Models

13. Chapter 2 Markov Models

14. Chapter 1 Stochastic Epidemic Models

15. Chapter 4 Open Markov Models

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