Evidence map›Paper›PMID 37353236›Full record

ArticleBMJ global health2023

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

Oumy Seck, Jerlie Loko Roka, Mamadou Ndiaye, Apophia Namageyo-Funa, Sam Abdoulaye, Abdoulaye Mangane, Ndeye Licka Dieye, Babacar Ndoye, Boly Diop, Jim Ting and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Oumy SeckSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Jerlie Loko RokaCenters for Disease Control and Prevention, Dakar, Senegal myu3@cdc.gov.ORCID 0000-0002-6660-8882
Mamadou NdiayeSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Apophia Namageyo-FunaCenters for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-6758-021X
Sam AbdoulayeSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Abdoulaye ManganeSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Ndeye Licka DieyeSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Babacar NdoyeAfrica Field Epidemiology Network, Dakar, Senegal.
Boly DiopSurveillance Division, Prevention Department, Government of Senegal Ministry of Health and Social Action, Dakar, Senegal.
Jim TingCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Omer PasiCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksHumansPandemicsSenegalCOVID-19Public Health

Identifiers

PMID37353236
PMCPMC10314499
OpenAlexW4381839238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.