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We need to know the expected health burden and treatment cost, and understand uncertainty in those estimates, to inform policymaking and future research. Two models that have been important in informing treatment guidelines and assessments of <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content> burden were compared by simulating cohorts of individuals with chronic <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content> infection initially aged 20, 35 and 50\u00a0years. One model predicts that health losses (measured in quality\u2010adjusted life\u2010years [<jats:styled-content style=\"fixed-case\">QALY<\/jats:styled-content>s]) and treatment costs decrease with increasing initial age of the patients, whilst the other model predicts that below 40\u00a0years, costs increase and <jats:styled-content style=\"fixed-case\">QALY<\/jats:styled-content> losses change little with age, and above 40\u00a0years, they decline with increasing age. Average per\u2010patient costs differ between the models by up to 38%, depending on the patients' initial age. One model predicts double the total number, and triple the peak annual incidence, of liver transplants compared to the other model. One model predicts 55%\u2010314% more deaths than the other, depending on the patients' initial age. The main sources of difference between the models are estimated progression rates between disease states and rates of health service utilization associated with different disease states and, in particular, the age dependency of these parameters. We conclude that decision\u2010makers need to be aware that uncertainties in the health burden and economic cost of <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content> disease have important consequences for predictions of future need for care and cost\u2010effectiveness of interventions to avert <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content> transmission, and further quantification is required to inform decisions.<\/jats:p>","DOI":"10.1111\/jvh.12847","type":"journal-article","created":{"date-parts":[[2017,12,24]],"date-time":"2017-12-24T10:35:04Z","timestamp":1514111704000},"page":"514-523","source":"Crossref","is-referenced-by-count":2,"title":["Assessing uncertainty in the burden of hepatitis C virus: Comparison of estimated disease burden and treatment costs in the <scp>UK<\/scp>"],"prefix":"10.1111","volume":"25","author":[{"given":"F.","family":"Gubay","sequence":"first","affiliation":[{"name":"MRC Centre for Outbreak Analysis and Modelling and NIHR Health Protection Research Unit in Modelling Methodology School of Public Health Imperial College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Staunton","sequence":"additional","affiliation":[{"name":"MRC Centre for Outbreak Analysis and Modelling and NIHR Health Protection Research Unit in Modelling Methodology School of Public Health Imperial College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Metzig","sequence":"additional","affiliation":[{"name":"MRC Centre for Outbreak Analysis and Modelling and NIHR Health Protection Research Unit in Modelling Methodology School of Public Health Imperial College London  London UK"},{"name":"Department of Mathematics Imperial College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"Abubakar","sequence":"additional","affiliation":[{"name":"Institute for Global Health University College London  London UK"},{"name":"Medical Directorate Public Health England  London UK"},{"name":"MRC Clinical Trials Unit University College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6644-3512","authenticated-orcid":false,"given":"P. 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