SARS-CoV-2 case detection using community event-based surveillance system—February–September 2020: lessons learned from Senegal

Author:

Seck Oumy,Loko Roka JerlieORCID,Ndiaye Mamadou,Namageyo-Funa ApophiaORCID,Abdoulaye Sam,Mangane Abdoulaye,Dieye Ndeye Licka,Ndoye Babacar,Diop Boly,Ting Jim,Pasi Omer

Abstract

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.

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference31 articles.

1. WHO declares COVID-19 a pandemic;Cucinotta;Acta Biomed,2020

2. Johns Hopkins University . COVID-19 dashboard. 2022. Available: https://coronavirus.jhu.edu/map.html

3. The puzzle of the COVID-19 pandemic in Africa

4. COVID-19 outbreak, Senegal, 2020;Dia;Emerg Infect Dis,2020

5. World Health Organization . International health regulations 2005. 2005. Available: https://www.who.int/publications/i/item/9789241580410

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3