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Trends of the leprosy control indicators in Benin from 2006 to 2018

BACKGROUND: Leprosy, or Hansen’s disease, is a chronic infectious disease caused by Mycobacterium leprae. The purpose of this study was to describe the epidemiological characteristics of leprosy in Benin from 2006 to 2018. METHODS: This descriptive retrospective study included data from January 2006...

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Autores principales: Gnimavo, Ronald Sètondji, Djossou, Parfait, Sopoh, Ghislain Emmanuel, Anagonou, Gimatal Esaï, Barogui, Yves Thierry, Wadagni, Akpéédjé Anita Carolle, Houezo, Jean-Gabin, Johnson, Roch Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433205/
https://www.ncbi.nlm.nih.gov/pubmed/32811449
http://dx.doi.org/10.1186/s12889-020-09341-w
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author Gnimavo, Ronald Sètondji
Djossou, Parfait
Sopoh, Ghislain Emmanuel
Anagonou, Gimatal Esaï
Barogui, Yves Thierry
Wadagni, Akpéédjé Anita Carolle
Houezo, Jean-Gabin
Johnson, Roch Christian
author_facet Gnimavo, Ronald Sètondji
Djossou, Parfait
Sopoh, Ghislain Emmanuel
Anagonou, Gimatal Esaï
Barogui, Yves Thierry
Wadagni, Akpéédjé Anita Carolle
Houezo, Jean-Gabin
Johnson, Roch Christian
author_sort Gnimavo, Ronald Sètondji
collection PubMed
description BACKGROUND: Leprosy, or Hansen’s disease, is a chronic infectious disease caused by Mycobacterium leprae. The purpose of this study was to describe the epidemiological characteristics of leprosy in Benin from 2006 to 2018. METHODS: This descriptive retrospective study included data from January 2006 to December 2018. The data of all patients treated in the leprosy treatment centres (LTCs) of the Republic of Benin were obtained from the LTC registers and analysed using Stata/SE 11.0 software. Quantum GIS (Geographic Information System) version 2.18.23 software was used for mapping. The main indicators of leprosy were calculated according to the World Health Organization (WHO) recommendations. RESULTS: During the study period, a total of 2785 (annual average of 214) new cases of leprosy were diagnosed. The median age of the patients was 38 years, with extremes ranging from 6 to 88 years. The sex ratio (males/females) was 1.18 (1509/1276). The departments of Plateau, Atacora, and Zou were the most endemic; their leprosy detection rate per 100,000 population during these thirteen years were 6.46 (479/7414297), 5.38 (534/9932880) and 5.19 (526/10134877), respectively. The leprosy detection rate declined from 3.8 to 1.32 per 100,000 inhabitants. The proportion of paediatric cases varied from 8.56 to 2.67% as the proportion of multibacillary forms increased from 72.95 to 90%. From 2006 to 2018, 622 leprosy patients detected had grade 2 disability (G2D) at screening, indicating an average rate of 5.06 (622/122877474) cases with G2D per million population. The proportion of grade 2 disabilities increased from 21.23 to 32% during the study period. The majority of new leprosy cases among foreign-born persons were Nigerian (85.71%). The completion of multidrug therapy (MDT) for paucibacillary (PB) and multibacillary (MB) leprosy cases ranged from 96.36 to 95.65% and from 90.53 to 94.12%, respectively. CONCLUSION: In Benin, leprosy remains a major health challenge; it is important to revitalize the epidemiological surveillance system to achieve its elimination by 2030.
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spelling pubmed-74332052020-08-19 Trends of the leprosy control indicators in Benin from 2006 to 2018 Gnimavo, Ronald Sètondji Djossou, Parfait Sopoh, Ghislain Emmanuel Anagonou, Gimatal Esaï Barogui, Yves Thierry Wadagni, Akpéédjé Anita Carolle Houezo, Jean-Gabin Johnson, Roch Christian BMC Public Health Research Article BACKGROUND: Leprosy, or Hansen’s disease, is a chronic infectious disease caused by Mycobacterium leprae. The purpose of this study was to describe the epidemiological characteristics of leprosy in Benin from 2006 to 2018. METHODS: This descriptive retrospective study included data from January 2006 to December 2018. The data of all patients treated in the leprosy treatment centres (LTCs) of the Republic of Benin were obtained from the LTC registers and analysed using Stata/SE 11.0 software. Quantum GIS (Geographic Information System) version 2.18.23 software was used for mapping. The main indicators of leprosy were calculated according to the World Health Organization (WHO) recommendations. RESULTS: During the study period, a total of 2785 (annual average of 214) new cases of leprosy were diagnosed. The median age of the patients was 38 years, with extremes ranging from 6 to 88 years. The sex ratio (males/females) was 1.18 (1509/1276). The departments of Plateau, Atacora, and Zou were the most endemic; their leprosy detection rate per 100,000 population during these thirteen years were 6.46 (479/7414297), 5.38 (534/9932880) and 5.19 (526/10134877), respectively. The leprosy detection rate declined from 3.8 to 1.32 per 100,000 inhabitants. The proportion of paediatric cases varied from 8.56 to 2.67% as the proportion of multibacillary forms increased from 72.95 to 90%. From 2006 to 2018, 622 leprosy patients detected had grade 2 disability (G2D) at screening, indicating an average rate of 5.06 (622/122877474) cases with G2D per million population. The proportion of grade 2 disabilities increased from 21.23 to 32% during the study period. The majority of new leprosy cases among foreign-born persons were Nigerian (85.71%). The completion of multidrug therapy (MDT) for paucibacillary (PB) and multibacillary (MB) leprosy cases ranged from 96.36 to 95.65% and from 90.53 to 94.12%, respectively. CONCLUSION: In Benin, leprosy remains a major health challenge; it is important to revitalize the epidemiological surveillance system to achieve its elimination by 2030. BioMed Central 2020-08-18 /pmc/articles/PMC7433205/ /pubmed/32811449 http://dx.doi.org/10.1186/s12889-020-09341-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Gnimavo, Ronald Sètondji
Djossou, Parfait
Sopoh, Ghislain Emmanuel
Anagonou, Gimatal Esaï
Barogui, Yves Thierry
Wadagni, Akpéédjé Anita Carolle
Houezo, Jean-Gabin
Johnson, Roch Christian
Trends of the leprosy control indicators in Benin from 2006 to 2018
title Trends of the leprosy control indicators in Benin from 2006 to 2018
title_full Trends of the leprosy control indicators in Benin from 2006 to 2018
title_fullStr Trends of the leprosy control indicators in Benin from 2006 to 2018
title_full_unstemmed Trends of the leprosy control indicators in Benin from 2006 to 2018
title_short Trends of the leprosy control indicators in Benin from 2006 to 2018
title_sort trends of the leprosy control indicators in benin from 2006 to 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433205/
https://www.ncbi.nlm.nih.gov/pubmed/32811449
http://dx.doi.org/10.1186/s12889-020-09341-w
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