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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Feng, Zhilan, 1959- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Jersey : World Scientific, [2014]
Temas:
Epidemiology > Mathematical models.
Communicable diseases > Epidemiology > Mathematical models.
Health risk assessment > Government policy.
Public health surveillance.
Épidémiologie > Modèles mathématiques.
Maladies infectieuses > Épidémiologie > Modèles mathématiques.
Risques pour la santé > Évaluation > Politique gouvernementale.
Santé publique > Surveillance.
MEDICAL > Forensic Medicine.
MEDICAL > Preventive Medicine.
MEDICAL > Public Health.
Communicable diseases > Epidemiology > Mathematical models
Epidemiology > Mathematical models
Health risk assessment > Government policy
Public health surveillance
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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