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Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria
BACKGROUND: Eliminating hepatitis C requires addressing issues other than medicines or therapies. Public health policies focused on the hepatitis C virus (HCV) must be emphasized and worked to know the impacts on its epidemiologic dynamics. This research aims to provide a tool to evaluate and simula...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116292/ https://www.ncbi.nlm.nih.gov/pubmed/33331968 http://dx.doi.org/10.1007/s00508-020-01774-y |
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author | Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirker, Roxana Gschwantler, Michael |
author_facet | Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirker, Roxana Gschwantler, Michael |
author_sort | Lopes, Henrique |
collection | PubMed |
description | BACKGROUND: Eliminating hepatitis C requires addressing issues other than medicines or therapies. Public health policies focused on the hepatitis C virus (HCV) must be emphasized and worked to know the impacts on its epidemiologic dynamics. This research aims to provide a tool to evaluate and simulate alternatives by redefining policies meeting specific needs in each country towards the HCV elimination target by 2030. METHODS: The development of a gamified model with 24 public health policies focused on HCV was conducted to evaluate the impact of measures in the disease epidemiologic dynamics. The Let’s End HepC (LEHC) project encompassed key populations (people who inject drugs [PWID], prisoners, blood products and remnant population) in Austria and other countries, presenting prospects for every year from 2019 to 2030. The LEHC epidemiological model comprised an integrated solution for HCV, with adaptive conjoint analysis (ACA) and Markov chains constituting its main processes. RESULTS: Despite Austria’s efforts towards achieving the HCV elimination goal by 2030, the LEHC model forecast quantitative analysis predicts that it is still not enough to meet the target; however, prospects are very optimistic if public health policies are adapted to the country’s needs, being possible to achieve the goal as early as 2026. CONCLUSION: In Austria, the LEHC tool allowed to forecast the HCV elimination year anticipation to 2026, instead of being achieved after 2030. This target will only be valid if adequate management of the 24 public health policies focused on this pathology is further implemented. |
format | Online Article Text |
id | pubmed-8116292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-81162922021-05-26 Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirker, Roxana Gschwantler, Michael Wien Klin Wochenschr Original Article BACKGROUND: Eliminating hepatitis C requires addressing issues other than medicines or therapies. Public health policies focused on the hepatitis C virus (HCV) must be emphasized and worked to know the impacts on its epidemiologic dynamics. This research aims to provide a tool to evaluate and simulate alternatives by redefining policies meeting specific needs in each country towards the HCV elimination target by 2030. METHODS: The development of a gamified model with 24 public health policies focused on HCV was conducted to evaluate the impact of measures in the disease epidemiologic dynamics. The Let’s End HepC (LEHC) project encompassed key populations (people who inject drugs [PWID], prisoners, blood products and remnant population) in Austria and other countries, presenting prospects for every year from 2019 to 2030. The LEHC epidemiological model comprised an integrated solution for HCV, with adaptive conjoint analysis (ACA) and Markov chains constituting its main processes. RESULTS: Despite Austria’s efforts towards achieving the HCV elimination goal by 2030, the LEHC model forecast quantitative analysis predicts that it is still not enough to meet the target; however, prospects are very optimistic if public health policies are adapted to the country’s needs, being possible to achieve the goal as early as 2026. CONCLUSION: In Austria, the LEHC tool allowed to forecast the HCV elimination year anticipation to 2026, instead of being achieved after 2030. This target will only be valid if adequate management of the 24 public health policies focused on this pathology is further implemented. Springer Vienna 2020-12-17 2021 /pmc/articles/PMC8116292/ /pubmed/33331968 http://dx.doi.org/10.1007/s00508-020-01774-y Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access 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. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirker, Roxana Gschwantler, Michael Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title | Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title_full | Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title_fullStr | Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title_full_unstemmed | Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title_short | Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
title_sort | integrating public health policies in the epidemiological modeling of hepatitis c with lehc tool: application in austria |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116292/ https://www.ncbi.nlm.nih.gov/pubmed/33331968 http://dx.doi.org/10.1007/s00508-020-01774-y |
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