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Title

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

Authors
Kershenobich, David
Razavi, Homie A
Cooper, Curtis L
Alberti, Alfredo
Dusheiko, Geoffrey M
Pol, Stanislas
Zuckerman, Eli
Koike, Kazuhiko
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Published in Liver International. 2011, vol. 31 Suppl 2, p. 4-17
Abstract 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.
Keywords AdultAgedBayes TheoremComputer SimulationEpidemicsEurope/epidemiologyFemaleForecastingHepatitis C, Chronic/diagnosis/epidemiology/mortality/therapy/transmissionHumansIncidenceMaleMiddle AgedModels, StatisticalNumerical Analysis, Computer-AssistedPrevalenceReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsUncertaintyUnited States/epidemiology
Identifiers
PMID: 21651700
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Article (Published version) (553 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Structures
Research group Etudes et traitement de l'hépatite C et B (554)
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(ISO format)
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. https://archive-ouverte.unige.ch/unige:25517

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Deposited on : 2013-01-15

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