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A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020
The international epidemiology of Hepatitis Delta Virus (HDV) is challenging to accurately estimate due to limited active surveillance for this rare infectious disease. Prior HDV epidemiological studies have relied on meta-analysis of aggregated and static datasets. These limitations restrict the ca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129014/ https://www.ncbi.nlm.nih.gov/pubmed/37098008 http://dx.doi.org/10.1371/journal.pgph.0000790 |
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author | Fallon, Braden S. Cooke, Elaine M. Hesterman, Matthew C. Norseth, Jared S. Akhundjanov, Sherzod B. Weller, Melodie L. |
author_facet | Fallon, Braden S. Cooke, Elaine M. Hesterman, Matthew C. Norseth, Jared S. Akhundjanov, Sherzod B. Weller, Melodie L. |
author_sort | Fallon, Braden S. |
collection | PubMed |
description | The international epidemiology of Hepatitis Delta Virus (HDV) is challenging to accurately estimate due to limited active surveillance for this rare infectious disease. Prior HDV epidemiological studies have relied on meta-analysis of aggregated and static datasets. These limitations restrict the capacity to actively detect low-level and/or geographically dispersed changes in the incidence of HDV diagnoses. This study was designed to provide a resource to track and analyze the international HDV epidemiology. Datasets analyzed collectively consisted of >700,000 HBV and >9,000 HDV reported cases ranging between 1999–2020. Datasets mined from government publications were identified for Argentina, Australia, Austria, Brazil, Bulgaria, Canada, Finland, Germany, Macao, Netherlands, New Zealand, Norway, Sweden, Taiwan, Thailand, United Kingdom, and United States. Time series analyses, including Mann-Kendall (MK) trend test, Bayesian Information Criterion (BIC), and hierarchal clustering, were performed to characterize trends in the HDV timelines. An aggregated prevalence of 2,560 HDV/HBV(100,000) cases (95% CI 180–4940) or 2.56% HDV/HBV cases was identified, ranging from 0.26% in Canada to 20% in the United States. Structural breaks in the timeline of HDV incidence were identified in 2002, 2012, and 2017, with a significant increase occurring between 2013–2017. Significant increasing trends in reported HDV and HBV cases were observed in 47% and 24% of datasets, respectively. Analyses of the HDV incidence timeline identified four distinct temporal clusters, including Cluster I (Macao, Taiwan), Cluster II (Argentina, Brazil, Germany, Thailand), Cluster III (Bulgaria, Netherlands, New Zealand, United Kingdom, United States) and Cluster IV (Australia, Austria, Canada, Finland, Norway, Sweden). Tracking of HDV and HBV cases on an international scale is essential in defining the global impact of viral hepatitis. Significant disruptions of HDV and HBV epidemiology have been identified. Increased surveillance of HDV is warranted to further define the etiology of the recent breakpoints in the international HDV incidence. |
format | Online Article Text |
id | pubmed-10129014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101290142023-04-26 A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 Fallon, Braden S. Cooke, Elaine M. Hesterman, Matthew C. Norseth, Jared S. Akhundjanov, Sherzod B. Weller, Melodie L. PLOS Glob Public Health Research Article The international epidemiology of Hepatitis Delta Virus (HDV) is challenging to accurately estimate due to limited active surveillance for this rare infectious disease. Prior HDV epidemiological studies have relied on meta-analysis of aggregated and static datasets. These limitations restrict the capacity to actively detect low-level and/or geographically dispersed changes in the incidence of HDV diagnoses. This study was designed to provide a resource to track and analyze the international HDV epidemiology. Datasets analyzed collectively consisted of >700,000 HBV and >9,000 HDV reported cases ranging between 1999–2020. Datasets mined from government publications were identified for Argentina, Australia, Austria, Brazil, Bulgaria, Canada, Finland, Germany, Macao, Netherlands, New Zealand, Norway, Sweden, Taiwan, Thailand, United Kingdom, and United States. Time series analyses, including Mann-Kendall (MK) trend test, Bayesian Information Criterion (BIC), and hierarchal clustering, were performed to characterize trends in the HDV timelines. An aggregated prevalence of 2,560 HDV/HBV(100,000) cases (95% CI 180–4940) or 2.56% HDV/HBV cases was identified, ranging from 0.26% in Canada to 20% in the United States. Structural breaks in the timeline of HDV incidence were identified in 2002, 2012, and 2017, with a significant increase occurring between 2013–2017. Significant increasing trends in reported HDV and HBV cases were observed in 47% and 24% of datasets, respectively. Analyses of the HDV incidence timeline identified four distinct temporal clusters, including Cluster I (Macao, Taiwan), Cluster II (Argentina, Brazil, Germany, Thailand), Cluster III (Bulgaria, Netherlands, New Zealand, United Kingdom, United States) and Cluster IV (Australia, Austria, Canada, Finland, Norway, Sweden). Tracking of HDV and HBV cases on an international scale is essential in defining the global impact of viral hepatitis. Significant disruptions of HDV and HBV epidemiology have been identified. Increased surveillance of HDV is warranted to further define the etiology of the recent breakpoints in the international HDV incidence. Public Library of Science 2023-04-25 /pmc/articles/PMC10129014/ /pubmed/37098008 http://dx.doi.org/10.1371/journal.pgph.0000790 Text en © 2023 Fallon et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Fallon, Braden S. Cooke, Elaine M. Hesterman, Matthew C. Norseth, Jared S. Akhundjanov, Sherzod B. Weller, Melodie L. A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title | A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title_full | A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title_fullStr | A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title_full_unstemmed | A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title_short | A changing landscape: Tracking and analysis of the international HDV epidemiology 1999–2020 |
title_sort | changing landscape: tracking and analysis of the international hdv epidemiology 1999–2020 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129014/ https://www.ncbi.nlm.nih.gov/pubmed/37098008 http://dx.doi.org/10.1371/journal.pgph.0000790 |
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