Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C

Detalhes bibliográficos
Autor(a) principal: Baptista-Leite, Ricardo
Data de Publicação: 2023
Outros Autores: Lopes, Henrique, Vandewalle, Björn, Félix, Jorge, Franco, Diogo, Clemens, Timo, Brand, Helmut
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/159016
Resumo: Baptista-Leite, R., Lopes, H., Vandewalle, B., Félix, J., Franco, D., Clemens, T., & Brand, H. (2023). Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination. JMIR Research Protocols, 12, [e38521]. https://doi.org/10.2196/38521---Gilead Sciences Europe Ltd is providing financial support for data collection, web design, and IT-related processes in the Let’s End HepC project. Manuscript authorship, the national advisory boards that contributed to this study, and scientific and academic work are not sponsored.
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spelling Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis CProtocol for a Gamification Tool Targeting Microeliminationhepatitis Cmobile phonepatient advocacymodelingpublic health policiesMedicine(all)SDG 3 - Good Health and Well-beingBaptista-Leite, R., Lopes, H., Vandewalle, B., Félix, J., Franco, D., Clemens, T., & Brand, H. (2023). Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination. JMIR Research Protocols, 12, [e38521]. https://doi.org/10.2196/38521---Gilead Sciences Europe Ltd is providing financial support for data collection, web design, and IT-related processes in the Let’s End HepC project. Manuscript authorship, the national advisory boards that contributed to this study, and scientific and academic work are not sponsored.Background: Hepatitis C is a disease with a strong social component, as its main transmission route is via blood, making it associated with lifestyle. Therefore, it is suitable to be worked on from the perspective of public health policy, which still has a lot of room to explore and improve, contrary to diagnoses and treatments, which are already very refined and effective. Objective: An interactive gamified policy tool, designated as Let’s End HepC (LEHC), was created to understand the impact of policies related to hepatitis C on the disease’s epidemiology on a yearly basis until 2030. Methods: To this end, an innovative epidemiological model was developed, integrating Markov chains to model the natural history of the disease and adaptive conjoint analysis to reflect the degree of application of each of the 24 public health policies included in the model. This double imputation model makes it possible to assess a set of indicators such as liver transplant, incidence, and deaths year by year until 2030 in different risk groups. Populations at a higher risk were integrated into the model to understand the specific epidemiological dynamics within the total population of each country and within segments that comprise people who have received blood products, prisoners, people who inject drugs, people infected through vertical transmission, and the remaining population. Results: The model has already been applied to a group of countries, and studies in 5 of these countries have already been concluded, showing results very close to those obtained through other forms of evaluation. Conclusions: The LEHC model allows the simulation of different degrees of implementation of each policy and thus the verification of its epidemiological impact on each studied population. The gamification feature allows assessing the adequate fulfillment of the World Health Organization goals for the elimination of hepatitis C by 2030. LEHC supports health decision makers and people who practice patient advocacy in making decisions based on science, and because LEHC is democratically shared, it ends up contributing to the increase of citizenship in health.Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNBaptista-Leite, RicardoLopes, HenriqueVandewalle, BjörnFélix, JorgeFranco, DiogoClemens, TimoBrand, Helmut2023-10-17T22:19:49Z2023-09-252023-09-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/159016eng1929-0748PURE: 72980639https://doi.org/10.2196/38521info: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:RCAAP2024-03-11T05:41:30Zoai:run.unl.pt:10362/159016Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:22.370256Repositório 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 Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
Protocol for a Gamification Tool Targeting Microelimination
title Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
spellingShingle Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
Baptista-Leite, Ricardo
hepatitis C
mobile phone
patient advocacy
modeling
public health policies
Medicine(all)
SDG 3 - Good Health and Well-being
title_short Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
title_full Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
title_fullStr Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
title_full_unstemmed Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
title_sort Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C
author Baptista-Leite, Ricardo
author_facet Baptista-Leite, Ricardo
Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
author_role author
author2 Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Baptista-Leite, Ricardo
Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
dc.subject.por.fl_str_mv hepatitis C
mobile phone
patient advocacy
modeling
public health policies
Medicine(all)
SDG 3 - Good Health and Well-being
topic hepatitis C
mobile phone
patient advocacy
modeling
public health policies
Medicine(all)
SDG 3 - Good Health and Well-being
description Baptista-Leite, R., Lopes, H., Vandewalle, B., Félix, J., Franco, D., Clemens, T., & Brand, H. (2023). Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination. JMIR Research Protocols, 12, [e38521]. https://doi.org/10.2196/38521---Gilead Sciences Europe Ltd is providing financial support for data collection, web design, and IT-related processes in the Let’s End HepC project. Manuscript authorship, the national advisory boards that contributed to this study, and scientific and academic work are not sponsored.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-17T22:19:49Z
2023-09-25
2023-09-25T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/159016
url http://hdl.handle.net/10362/159016
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1929-0748
PURE: 72980639
https://doi.org/10.2196/38521
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