Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/10400.14/32250 |
Resumo: | Background & Aims: To combat hepatitis C virus (HCV) and achieve its elimination by 2030, the emphasis should be on public health policies. In this study, we investigated the dynamics of epidemiology of HCV in Romanian risk groups that are characterized by higher occurrence densities with the aid of The Let’s End HepC (LEHC) project. Methods: The LEHC project addressed the modelling of HCV epidemiology, being applied in several countries, one of which is Romania. The model comprised an integrated solution of public health policies focused on the disease, using Adaptive Conjoint Analysis and Markov chains systems. This tool allowed the quantitative evaluation of public health policies‘ impact, for every year until 2030, in five population groups: people who inject drugs (PWID), prisoners, individuals who have received blood products, children at risk for vertical transmission, and the remnant population. Results: It appears that Romania was already making great efforts in the context of public policies, allowing the achievement of HCV elimination by 2028 if current policies were maintained. Through additional work and greater efforts in further implementing public policies, the LEHC model estimated the possibility of anticipating this outcome to 2026. Conclusion: The LEHC model estimated an anticipation of the HCV elimination year in Romania to be 2026 if the twenty-four health policies in the study are fully implemented and consistently maintained over the years. |
id |
RCAP_f44f16573be67305ee74bfd382841f0f |
---|---|
oai_identifier_str |
oai:repositorio.ucp.pt:10400.14/32250 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to controlHepatitis CModelingPublic healthPublic policiesBackground & Aims: To combat hepatitis C virus (HCV) and achieve its elimination by 2030, the emphasis should be on public health policies. In this study, we investigated the dynamics of epidemiology of HCV in Romanian risk groups that are characterized by higher occurrence densities with the aid of The Let’s End HepC (LEHC) project. Methods: The LEHC project addressed the modelling of HCV epidemiology, being applied in several countries, one of which is Romania. The model comprised an integrated solution of public health policies focused on the disease, using Adaptive Conjoint Analysis and Markov chains systems. This tool allowed the quantitative evaluation of public health policies‘ impact, for every year until 2030, in five population groups: people who inject drugs (PWID), prisoners, individuals who have received blood products, children at risk for vertical transmission, and the remnant population. Results: It appears that Romania was already making great efforts in the context of public policies, allowing the achievement of HCV elimination by 2028 if current policies were maintained. Through additional work and greater efforts in further implementing public policies, the LEHC model estimated the possibility of anticipating this outcome to 2026. Conclusion: The LEHC model estimated an anticipation of the HCV elimination year in Romania to be 2026 if the twenty-four health policies in the study are fully implemented and consistently maintained over the years.Veritati - Repositório Institucional da Universidade Católica PortuguesaLopes, HenriqueBaptista-Leite, RicardoFranco, DiogoEclemea, IrinaBratu, Eugenia C.Furtunescu, Florentina L.Pop, Corina SilviaPana, Bogdan C.2021-03-17T16:36:32Z2020-092020-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/32250eng1841-872410.15403/jgld-6438509087844932830821000589580000016info: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:RCAAP2023-07-12T17:37:42Zoai:repositorio.ucp.pt:10400.14/32250Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:26:01.765219Repositório 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 |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
title |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
spellingShingle |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control Lopes, Henrique Hepatitis C Modeling Public health Public policies |
title_short |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
title_full |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
title_fullStr |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
title_full_unstemmed |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
title_sort |
Modeling the puzzle of hepatitis C epidemiology in Romania: a pathway to control |
author |
Lopes, Henrique |
author_facet |
Lopes, Henrique Baptista-Leite, Ricardo Franco, Diogo Eclemea, Irina Bratu, Eugenia C. Furtunescu, Florentina L. Pop, Corina Silvia Pana, Bogdan C. |
author_role |
author |
author2 |
Baptista-Leite, Ricardo Franco, Diogo Eclemea, Irina Bratu, Eugenia C. Furtunescu, Florentina L. Pop, Corina Silvia Pana, Bogdan C. |
author2_role |
author author author 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 Eclemea, Irina Bratu, Eugenia C. Furtunescu, Florentina L. Pop, Corina Silvia Pana, Bogdan C. |
dc.subject.por.fl_str_mv |
Hepatitis C Modeling Public health Public policies |
topic |
Hepatitis C Modeling Public health Public policies |
description |
Background & Aims: To combat hepatitis C virus (HCV) and achieve its elimination by 2030, the emphasis should be on public health policies. In this study, we investigated the dynamics of epidemiology of HCV in Romanian risk groups that are characterized by higher occurrence densities with the aid of The Let’s End HepC (LEHC) project. Methods: The LEHC project addressed the modelling of HCV epidemiology, being applied in several countries, one of which is Romania. The model comprised an integrated solution of public health policies focused on the disease, using Adaptive Conjoint Analysis and Markov chains systems. This tool allowed the quantitative evaluation of public health policies‘ impact, for every year until 2030, in five population groups: people who inject drugs (PWID), prisoners, individuals who have received blood products, children at risk for vertical transmission, and the remnant population. Results: It appears that Romania was already making great efforts in the context of public policies, allowing the achievement of HCV elimination by 2028 if current policies were maintained. Through additional work and greater efforts in further implementing public policies, the LEHC model estimated the possibility of anticipating this outcome to 2026. Conclusion: The LEHC model estimated an anticipation of the HCV elimination year in Romania to be 2026 if the twenty-four health policies in the study are fully implemented and consistently maintained over the years. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09 2020-09-01T00:00:00Z 2021-03-17T16:36:32Z |
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/10400.14/32250 |
url |
http://hdl.handle.net/10400.14/32250 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1841-8724 10.15403/jgld-643 85090878449 32830821 000589580000016 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131976068759552 |