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Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications
Egypt has the highest hepatitis C virus (HCV) prevalence in the world (14.7%). The drivers of the HCV epidemic in Egypt are not well understood, but the mass parenteral antischistosomal therapy (PAT) campaigns in the second half of the 20th century are believed to be the determinant of the high prev...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4282472/ https://www.ncbi.nlm.nih.gov/pubmed/24913187 http://dx.doi.org/10.1002/hep.27248 |
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author | Cuadros, Diego F Branscum, Adam J Miller, F DeWolfe Abu-Raddad, Laith J |
author_facet | Cuadros, Diego F Branscum, Adam J Miller, F DeWolfe Abu-Raddad, Laith J |
author_sort | Cuadros, Diego F |
collection | PubMed |
description | Egypt has the highest hepatitis C virus (HCV) prevalence in the world (14.7%). The drivers of the HCV epidemic in Egypt are not well understood, but the mass parenteral antischistosomal therapy (PAT) campaigns in the second half of the 20th century are believed to be the determinant of the high prevalence. We studied HCV exposure in Egypt at a microscale through spatial mapping and epidemiological description of HCV clustering. The source of data was the 2008 Egypt Demographic and Health Survey. We identified clusters with high and low HCV prevalence and high and low PAT exposure using Kulldorff spatial scan statistics. Correlations across clusters were estimated, and each cluster age-specific HCV prevalence was described. We identified six clusters of high HCV prevalence, three clusters of low HCV prevalence, five clusters of high PAT exposure, and four clusters of low PAT exposure. HCV prevalence and PAT exposure were not significantly associated across clusters (Pearson correlation coefficient [PCC] = 0.36; 95% confidence interval [CI] −0.12 to 0.71). Meanwhile, there was a strong association between HCV prevalence in individuals older than 30 years of age (who could have been exposed to PAT) and HCV prevalence in individuals 30 years of age or younger (who could not have been exposed to PAT) (PCC = 0.81; 95% CI 0.55-0.93). Conclusion: The findings illustrate a spatial variation in HCV exposure in Egypt. The observed clustering was suggestive of an array of iatrogenic risk factors, besides past PAT exposure, and ongoing transmission. The role of PAT exposure in the HCV epidemic could have been overstated. Our findings support the rationale for spatially prioritized interventions. (Hepatology 2014;60:1150–1159) |
format | Online Article Text |
id | pubmed-4282472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-42824722015-01-15 Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications Cuadros, Diego F Branscum, Adam J Miller, F DeWolfe Abu-Raddad, Laith J Hepatology Viral Hepatitis Egypt has the highest hepatitis C virus (HCV) prevalence in the world (14.7%). The drivers of the HCV epidemic in Egypt are not well understood, but the mass parenteral antischistosomal therapy (PAT) campaigns in the second half of the 20th century are believed to be the determinant of the high prevalence. We studied HCV exposure in Egypt at a microscale through spatial mapping and epidemiological description of HCV clustering. The source of data was the 2008 Egypt Demographic and Health Survey. We identified clusters with high and low HCV prevalence and high and low PAT exposure using Kulldorff spatial scan statistics. Correlations across clusters were estimated, and each cluster age-specific HCV prevalence was described. We identified six clusters of high HCV prevalence, three clusters of low HCV prevalence, five clusters of high PAT exposure, and four clusters of low PAT exposure. HCV prevalence and PAT exposure were not significantly associated across clusters (Pearson correlation coefficient [PCC] = 0.36; 95% confidence interval [CI] −0.12 to 0.71). Meanwhile, there was a strong association between HCV prevalence in individuals older than 30 years of age (who could have been exposed to PAT) and HCV prevalence in individuals 30 years of age or younger (who could not have been exposed to PAT) (PCC = 0.81; 95% CI 0.55-0.93). Conclusion: The findings illustrate a spatial variation in HCV exposure in Egypt. The observed clustering was suggestive of an array of iatrogenic risk factors, besides past PAT exposure, and ongoing transmission. The role of PAT exposure in the HCV epidemic could have been overstated. Our findings support the rationale for spatially prioritized interventions. (Hepatology 2014;60:1150–1159) BlackWell Publishing Ltd 2014-10 2014-08-19 /pmc/articles/PMC4282472/ /pubmed/24913187 http://dx.doi.org/10.1002/hep.27248 Text en © 2014 The Authors. Hepatology published by Wiley on behalf of the American Association for the Study of Liver Diseases. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Viral Hepatitis Cuadros, Diego F Branscum, Adam J Miller, F DeWolfe Abu-Raddad, Laith J Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title | Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title_full | Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title_fullStr | Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title_full_unstemmed | Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title_short | Spatial epidemiology of hepatitis C virus infection in Egypt: Analyses and implications |
title_sort | spatial epidemiology of hepatitis c virus infection in egypt: analyses and implications |
topic | Viral Hepatitis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4282472/ https://www.ncbi.nlm.nih.gov/pubmed/24913187 http://dx.doi.org/10.1002/hep.27248 |
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