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Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal
Infectious diseases still represent a major challenge for humanity. In this context, their surveillance is critical. From 2010 to 2016, two Point-Of-Care (POC) laboratories have been successfully implemented in the rural Saloum region of Senegal. In parallel, a homemade syndromic surveillance system...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167408/ https://www.ncbi.nlm.nih.gov/pubmed/27926917 http://dx.doi.org/10.1371/journal.pntd.0005212 |
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author | Abat, Cédric Colson, Philippe Chaudet, Hervé Rolain, Jean-Marc Bassene, Hubert Diallo, Aldiouma Mediannikov, Oleg Fenollar, Florence Raoult, Didier Sokhna, Cheikh |
author_facet | Abat, Cédric Colson, Philippe Chaudet, Hervé Rolain, Jean-Marc Bassene, Hubert Diallo, Aldiouma Mediannikov, Oleg Fenollar, Florence Raoult, Didier Sokhna, Cheikh |
author_sort | Abat, Cédric |
collection | PubMed |
description | Infectious diseases still represent a major challenge for humanity. In this context, their surveillance is critical. From 2010 to 2016, two Point-Of-Care (POC) laboratories have been successfully implemented in the rural Saloum region of Senegal. In parallel, a homemade syndromic surveillance system called EPIMIC was implemented to monitor infectious diseases using data produced by the POC laboratory of the Timone hospital in Marseille, France. The aim of this study is to describe the steps necessary for implementing EPIMIC using data routinely produced by two POC laboratories (POC-L) established in rural Senegal villages. After improving EPIMIC, we started to monitor the 15 pathogens routinely diagnosed in the two POC-L using the same methodology we used in France. In 5 years, 2,577 deduplicated patients-samples couples from 775 different patients have been tested in the Dielmo and Ndiop POC-L. 739 deduplicated patients-samples couples were found to be positive to at least one of the tested pathogens. The retrospective analysis of the Dielmo and Ndiop POC data with EPIMIC allowed to generate 443 alarms. Since January 2016, 316 deduplicated patients-samples couples collected from 298 different patients were processed in the Niakhar POC laboratory. 56 deduplicated patients-samples couples were found to be positive to at least one of the tested pathogens. The retrospective analysis of the data of the Niakhar POC laboratory with EPIMIC allowed to generate 14 alarms. Although some improvements are still needed, EPIMIC has been successfully spread using data routinely produced by two rural POC-L in Senegal, West Africa. |
format | Online Article Text |
id | pubmed-5167408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51674082016-12-28 Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal Abat, Cédric Colson, Philippe Chaudet, Hervé Rolain, Jean-Marc Bassene, Hubert Diallo, Aldiouma Mediannikov, Oleg Fenollar, Florence Raoult, Didier Sokhna, Cheikh PLoS Negl Trop Dis Research Article Infectious diseases still represent a major challenge for humanity. In this context, their surveillance is critical. From 2010 to 2016, two Point-Of-Care (POC) laboratories have been successfully implemented in the rural Saloum region of Senegal. In parallel, a homemade syndromic surveillance system called EPIMIC was implemented to monitor infectious diseases using data produced by the POC laboratory of the Timone hospital in Marseille, France. The aim of this study is to describe the steps necessary for implementing EPIMIC using data routinely produced by two POC laboratories (POC-L) established in rural Senegal villages. After improving EPIMIC, we started to monitor the 15 pathogens routinely diagnosed in the two POC-L using the same methodology we used in France. In 5 years, 2,577 deduplicated patients-samples couples from 775 different patients have been tested in the Dielmo and Ndiop POC-L. 739 deduplicated patients-samples couples were found to be positive to at least one of the tested pathogens. The retrospective analysis of the Dielmo and Ndiop POC data with EPIMIC allowed to generate 443 alarms. Since January 2016, 316 deduplicated patients-samples couples collected from 298 different patients were processed in the Niakhar POC laboratory. 56 deduplicated patients-samples couples were found to be positive to at least one of the tested pathogens. The retrospective analysis of the data of the Niakhar POC laboratory with EPIMIC allowed to generate 14 alarms. Although some improvements are still needed, EPIMIC has been successfully spread using data routinely produced by two rural POC-L in Senegal, West Africa. Public Library of Science 2016-12-07 /pmc/articles/PMC5167408/ /pubmed/27926917 http://dx.doi.org/10.1371/journal.pntd.0005212 Text en © 2016 Abat et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Abat, Cédric Colson, Philippe Chaudet, Hervé Rolain, Jean-Marc Bassene, Hubert Diallo, Aldiouma Mediannikov, Oleg Fenollar, Florence Raoult, Didier Sokhna, Cheikh Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title | Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title_full | Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title_fullStr | Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title_full_unstemmed | Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title_short | Implementation of Syndromic Surveillance Systems in Two Rural Villages in Senegal |
title_sort | implementation of syndromic surveillance systems in two rural villages in senegal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167408/ https://www.ncbi.nlm.nih.gov/pubmed/27926917 http://dx.doi.org/10.1371/journal.pntd.0005212 |
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