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Integrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austria

2021-05Journal article Open access
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dc.contributor.authorLopes, Henrique
dc.contributor.authorBaptista-Leite, Ricardo
dc.contributor.authorFranco, Diogo
dc.contributor.authorPirke, Roxana
dc.contributor.authorGschwantler, Michael
dc.date.accessioned2021-05-26T13:38:49Z
dc.date.available2021-05-26T13:38:49Z
dc.date.issued2021-05
dc.description.abstractBackground: 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s00508-020-01774-ypt_PT
dc.identifier.eid85097669723
dc.identifier.issn0043-5325
dc.identifier.pmcPMC8116292
dc.identifier.pmid33331968
dc.identifier.urihttp://hdl.handle.net/10400.14/33275
dc.identifier.wos000599807400002
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGamificationpt_PT
dc.subjectHepatitis Cpt_PT
dc.subjectModelingpt_PT
dc.subjectPublic healthpt_PT
dc.subjectPublic policiespt_PT
dc.titleIntegrating public health policies in the epidemiological modeling of hepatitis C with LEHC tool: application in Austriapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage469pt_PT
oaire.citation.issue9-10pt_PT
oaire.citation.startPage461pt_PT
oaire.citation.titleWiener Klinische Wochenschriftpt_PT
oaire.citation.volume133pt_PT
person.familyNameLopes
person.givenNameHenrique
person.identifier2300919
person.identifier.ciencia-idED1F-0A49-AB4D
person.identifier.orcid0000-0002-7586-401X
person.identifier.scopus-author-id57216940523
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication17b755f5-c02f-46a1-911f-0519dbf45271
relation.isAuthorOfPublication.latestForDiscovery17b755f5-c02f-46a1-911f-0519dbf45271

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