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Applying a system approach to forecast the total hepatitis C virus-infected population size: model validation using US data

Publié dansLiver international, vol. 31 Suppl 2, p. 4-17
Date de publication2011
Résumé

Hepatitis C virus (HCV) infection is associated with chronic progressive liver disease. Its global epidemiology is still not well ascertained and its impact will be confronted with a higher burden in the next decade. Aim: The goal of this study was to develop a tool that can be used to predict the future prevalence of the disease in different countries and, more importantly, to understand the cause and effect relationship between the key assumptions and future trends.

Mots-clés
  • Adult
  • Aged
  • Bayes Theorem
  • Computer Simulation
  • Epidemics
  • Europe/epidemiology
  • Female
  • Forecasting
  • Hepatitis C, Chronic/diagnosis/epidemiology/mortality/therapy/transmission
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Models, Statistical
  • Numerical Analysis, Computer-Assisted
  • Prevalence
  • Reproducibility of Results
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • Uncertainty
  • United States/epidemiology
Citation (format ISO)
KERSHENOBICH, David et al. Applying a system approach to forecast the total hepatitis C virus-infected population size: model validation using US data. In: Liver international, 2011, vol. 31 Suppl 2, p. 4–17. doi: 10.1111/j.1478-3231.2011.02535.x
Fichiers principaux (1)
Article (Published version)
accessLevelRestricted
Identifiants
ISSN du journal1478-3223
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Informations techniques

Création05/11/2012 08:05:00
Première validation05/11/2012 08:05:00
Heure de mise à jour14/03/2023 19:57:05
Changement de statut14/03/2023 19:57:05
Dernière indexation16/01/2024 00:55:55
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