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Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method
In 2017, 1447 new cases of Human African Trypanosomiasis (HAT) were reported, which reflects considerable progress towards the World Health Organisation’s target of eliminating HAT as a public health problem by 2020. However, current epidemiological data are still lacking for a number of areas, incl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
EDP Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785972/ https://www.ncbi.nlm.nih.gov/pubmed/31599229 http://dx.doi.org/10.1051/parasite/2019061 |
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author | Courtin, Fabrice Camara, Oumou Camara, Mamadou Kagbadouno, Moïse Bucheton, Bruno Solano, Philippe Jamonneau, Vincent |
author_facet | Courtin, Fabrice Camara, Oumou Camara, Mamadou Kagbadouno, Moïse Bucheton, Bruno Solano, Philippe Jamonneau, Vincent |
author_sort | Courtin, Fabrice |
collection | PubMed |
description | In 2017, 1447 new cases of Human African Trypanosomiasis (HAT) were reported, which reflects considerable progress towards the World Health Organisation’s target of eliminating HAT as a public health problem by 2020. However, current epidemiological data are still lacking for a number of areas, including historical HAT foci. In order to update the HAT situation in the historical focus of forested Guinea, we implemented a geographically based methodology: Identification of Villages at Risk (IVR). The methodology is based on three sequential steps: Desk-based IVR (IVR-D), which selects villages at risk of HAT on the basis of HAT archives and geographical items; Field-based IVR (IVR-F), which consists in collecting additional epidemiological and geographical information in the field in villages at risk; and to be Medically surveyed IVR (IVR-M), a field data analysis through a Geographic Information System (GIS), to compile a list of the villages most at risk of HAT, suitable to guide active screening and passive surveillance. In an area of 2385 km(2) with 1420,530 inhabitants distributed in 1884 settlements, 14 villages with a population of 11,236 inhabitants were identified as most at risk of HAT and selected for active screening. Although no HAT cases could be confirmed, subjects that had come into contact with Trypanosoma brucei gambiense were identified and two sentinel sites were chosen to implement passive surveillance. IVR, which could be applied to any gambiense areas where the situation needs to be clarified, could help to reach the objective of HAT elimination. |
format | Online Article Text |
id | pubmed-6785972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | EDP Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-67859722019-10-18 Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method Courtin, Fabrice Camara, Oumou Camara, Mamadou Kagbadouno, Moïse Bucheton, Bruno Solano, Philippe Jamonneau, Vincent Parasite Research Article In 2017, 1447 new cases of Human African Trypanosomiasis (HAT) were reported, which reflects considerable progress towards the World Health Organisation’s target of eliminating HAT as a public health problem by 2020. However, current epidemiological data are still lacking for a number of areas, including historical HAT foci. In order to update the HAT situation in the historical focus of forested Guinea, we implemented a geographically based methodology: Identification of Villages at Risk (IVR). The methodology is based on three sequential steps: Desk-based IVR (IVR-D), which selects villages at risk of HAT on the basis of HAT archives and geographical items; Field-based IVR (IVR-F), which consists in collecting additional epidemiological and geographical information in the field in villages at risk; and to be Medically surveyed IVR (IVR-M), a field data analysis through a Geographic Information System (GIS), to compile a list of the villages most at risk of HAT, suitable to guide active screening and passive surveillance. In an area of 2385 km(2) with 1420,530 inhabitants distributed in 1884 settlements, 14 villages with a population of 11,236 inhabitants were identified as most at risk of HAT and selected for active screening. Although no HAT cases could be confirmed, subjects that had come into contact with Trypanosoma brucei gambiense were identified and two sentinel sites were chosen to implement passive surveillance. IVR, which could be applied to any gambiense areas where the situation needs to be clarified, could help to reach the objective of HAT elimination. EDP Sciences 2019-10-10 /pmc/articles/PMC6785972/ /pubmed/31599229 http://dx.doi.org/10.1051/parasite/2019061 Text en © F. Courtin et al., published by EDP Sciences, 2019 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Courtin, Fabrice Camara, Oumou Camara, Mamadou Kagbadouno, Moïse Bucheton, Bruno Solano, Philippe Jamonneau, Vincent Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title | Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title_full | Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title_fullStr | Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title_full_unstemmed | Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title_short | Sleeping sickness in the historical focus of forested Guinea: update using a geographically based method |
title_sort | sleeping sickness in the historical focus of forested guinea: update using a geographically based method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785972/ https://www.ncbi.nlm.nih.gov/pubmed/31599229 http://dx.doi.org/10.1051/parasite/2019061 |
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