Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/33275 |
Resumo: | 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. |
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Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in AustriaGamificationHepatitis CModelingPublic healthPublic policiesBackground: 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.Veritati - Repositório Institucional da Universidade Católica PortuguesaLopes, HenriqueBaptista-Leite, RicardoFranco, DiogoPirke, RoxanaGschwantler, Michael2021-05-26T13:38:49Z2021-052021-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/33275eng0043-532510.1007/s00508-020-01774-y85097669723PMC811629233331968000599807400002info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-19T01:37:44Zoai:repositorio.ucp.pt:10400.14/33275Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:27:03.563679Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria Lopes, Henrique Gamification Hepatitis C Modeling Public health Public policies |
title_short |
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_sort |
Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria |
author |
Lopes, Henrique |
author_facet |
Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirke, Roxana Gschwantler, Michael |
author_role |
author |
author2 |
Baptista-Leite, Ricardo Franco, Diogo Pirke, Roxana Gschwantler, Michael |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Pirke, Roxana Gschwantler, Michael |
dc.subject.por.fl_str_mv |
Gamification Hepatitis C Modeling Public health Public policies |
topic |
Gamification Hepatitis C Modeling Public health Public policies |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-26T13:38:49Z 2021-05 2021-05-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.14/33275 |
url |
http://hdl.handle.net/10400.14/33275 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0043-5325 10.1007/s00508-020-01774-y 85097669723 PMC8116292 33331968 000599807400002 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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