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SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal
The COVID-19 pandemic necessitated the rapid development and implementation of effective surveillance systems to detect and respond to the outbreak in Senegal. In this documentation, we describe the design and implementation of the Community Event-Based Surveillance (CEBS) system in Senegal to stren...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314499/ https://www.ncbi.nlm.nih.gov/pubmed/37353236 http://dx.doi.org/10.1136/bmjgh-2023-012300 |
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author | Seck, Oumy Loko Roka, Jerlie Ndiaye, Mamadou Namageyo-Funa, Apophia Abdoulaye, Sam Mangane, Abdoulaye Dieye, Ndeye Licka Ndoye, Babacar Diop, Boly Ting, Jim Pasi, Omer |
author_facet | Seck, Oumy Loko Roka, Jerlie Ndiaye, Mamadou Namageyo-Funa, Apophia Abdoulaye, Sam Mangane, Abdoulaye Dieye, Ndeye Licka Ndoye, Babacar Diop, Boly Ting, Jim Pasi, Omer |
author_sort | Seck, Oumy |
collection | PubMed |
description | The COVID-19 pandemic necessitated the rapid development and implementation of effective surveillance systems to detect and respond to the outbreak in Senegal. In this documentation, we describe the design and implementation of the Community Event-Based Surveillance (CEBS) system in Senegal to strengthen the existing Integrated Disease Surveillance and Response system. The CEBS system used a hotline and toll-free number to collect and triage COVID-19-related calls from the community. Data from the CEBS system were integrated with the national system for further investigation and laboratory testing. From February to September 2020, a total of 10 760 calls were received by the CEBS system, with 10 751 calls related to COVID-19. The majority of calls came from the Dakar region, which was the epicentre of the outbreak in Senegal. Of the COVID-19 calls, 50.2% were validated and referred to health districts for further investigation, and 25% of validated calls were laboratory-confirmed cases of SARS-CoV-2. The implementation of the CEBS system allowed for timely detection and response to potential COVID-19 cases, contributing to the overall surveillance efforts in the country. Lessons learned from this experience include the importance of decentralised CEBS, population sensitisation on hotlines and toll-free usage, and the potential role of Community Health Workers in triaging alerts that needs further analysis. This experience highlights the contribution of a CEBS system in Senegal and provides insights into the design and operation of such a system. The findings can inform other countries in strengthening their surveillance systems and response strategies. |
format | Online Article Text |
id | pubmed-10314499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-103144992023-07-02 SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal Seck, Oumy Loko Roka, Jerlie Ndiaye, Mamadou Namageyo-Funa, Apophia Abdoulaye, Sam Mangane, Abdoulaye Dieye, Ndeye Licka Ndoye, Babacar Diop, Boly Ting, Jim Pasi, Omer BMJ Glob Health Practice The COVID-19 pandemic necessitated the rapid development and implementation of effective surveillance systems to detect and respond to the outbreak in Senegal. In this documentation, we describe the design and implementation of the Community Event-Based Surveillance (CEBS) system in Senegal to strengthen the existing Integrated Disease Surveillance and Response system. The CEBS system used a hotline and toll-free number to collect and triage COVID-19-related calls from the community. Data from the CEBS system were integrated with the national system for further investigation and laboratory testing. From February to September 2020, a total of 10 760 calls were received by the CEBS system, with 10 751 calls related to COVID-19. The majority of calls came from the Dakar region, which was the epicentre of the outbreak in Senegal. Of the COVID-19 calls, 50.2% were validated and referred to health districts for further investigation, and 25% of validated calls were laboratory-confirmed cases of SARS-CoV-2. The implementation of the CEBS system allowed for timely detection and response to potential COVID-19 cases, contributing to the overall surveillance efforts in the country. Lessons learned from this experience include the importance of decentralised CEBS, population sensitisation on hotlines and toll-free usage, and the potential role of Community Health Workers in triaging alerts that needs further analysis. This experience highlights the contribution of a CEBS system in Senegal and provides insights into the design and operation of such a system. The findings can inform other countries in strengthening their surveillance systems and response strategies. BMJ Publishing Group 2023-06-23 /pmc/articles/PMC10314499/ /pubmed/37353236 http://dx.doi.org/10.1136/bmjgh-2023-012300 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Practice Seck, Oumy Loko Roka, Jerlie Ndiaye, Mamadou Namageyo-Funa, Apophia Abdoulaye, Sam Mangane, Abdoulaye Dieye, Ndeye Licka Ndoye, Babacar Diop, Boly Ting, Jim Pasi, Omer SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title | SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title_full | SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title_fullStr | SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title_full_unstemmed | SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title_short | SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal |
title_sort | sars-cov-2 case detection using community event-based surveillance system—february–september 2020: lessons learned from senegal |
topic | Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314499/ https://www.ncbi.nlm.nih.gov/pubmed/37353236 http://dx.doi.org/10.1136/bmjgh-2023-012300 |
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