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http://hdl.handle.net/1942/37294
Title: | Ten years countdown to hepatitis C elimination in Belgium: a mathematical modeling approach | Authors: | BUSSCHOTS, Dana Ho, Erwin Blach, Sarah Nevens, Frederik Razavi, Homie Van Damme, Brieuc Vanwolleghem, Thomas ROBAEYS, Geert |
Issue Date: | 2022 | Publisher: | BMC | Source: | BMC INFECTIOUS DISEASES (Art N° 397) | Abstract: | Background Chronic infection with the hepatitis C virus (HCV) remains a worldwide health problem. As a result, the World Health Organization (WHO) has set elimination targets by 2030. This study aims to examine the position of Belgium in meeting the WHO's targets by 2030. Methods A Markov disease progression model, constructed in Microsoft Excel, was utilized to quantify the size of the HCV-infected population, by the liver disease stages, from 2015 to 2030. Two scenarios were developed to (1) forecast the disease burden in Belgium under the 2019 Base and (2) see what is needed to achieve the WHO targets. Results It was estimated that the number of HCV RNA-positive individuals in Belgium in 2015 was 18,800. To achieve the WHO goals, Belgium needs to treat at least 1200 patients per year. This will only be feasible if the number of screening tests increases. Conclusions Belgium is on target to reach the WHO targets by 2030 but will have to make sustained efforts. However, eradicating HCV requires policy changes to significantly increase prevention, screening, and treatment, alongside public health promotion, to raise awareness among high-risk populations and health care providers. | Notes: | Busschots, D (corresponding author), Hasselt Univ, Fac Med & Life Sci, Martelarenlaan 42, B-3500 Hasselt, Belgium.; Busschots, D (corresponding author), Ziekenhuis Oost Limburg, Dept Gastroenterol & Hepatol, Genk, Belgium. dana.busschots@uhasselt.be |
Keywords: | Disease elimination; Health policy; Hepatitis C virus; Belgium | Document URI: | http://hdl.handle.net/1942/37294 | e-ISSN: | 1471-2334 | DOI: | 10.1186/s12879-022-07378-3 | ISI #: | WOS:000785604900001 | Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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