Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions /
Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies.
New Jersey :
|Online Access:||Available via EBSCO eBook Collection|
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- 1. Epidemic models. 1.1. Continuous-time models. 1.2. Discrete-time models
- 2. Endemic models. 2.1. Classical SIR and SEIR endemic models. 2.2. Multi-group models and the role of mixing. 2.3. Multiple pathogen strains and host types. 2.4. Age-structured models. 2.5. Models with non-exponentially distributed stages durations. 2.6. Oscillatory dynamic created by isolation. 2.7. Coupled dynamics of biological processes
- 3. Applications of models to evaluations of disease control strategies. 3.1. Influenza. 3.2. SARS. 3.3. Tuberculosis. 3.4. Schistosomiasis. 3.5. Synergy between HSV-2 and HIV
- 4. Development of interactive tools to assist public health policymaking. 4.1. An interactive tool for policymaking in disease control.