Evidence map›Paper›PMID 37277417›Full record

ArticleScientific reports2023

Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal.

Maryam Diarra, Ramatoulaye Ndiaye, Aliou Barry, Cheikh Talla, Moussa Moise Diagne, Ndongo Dia, Joseph Faye, Fatoumata Diene Sarr, Aboubacry Gaye, Amadou Diallo and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

18 authors.

Maryam Diarra *Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Ramatoulaye Ndiaye *Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Aliou BarryEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Cheikh TallaEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Moussa Moise DiagneVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Ndongo DiaVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Joseph FayeEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Fatoumata Diene SarrEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Aboubacry GayeEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Amadou DialloEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Mamadou CisseEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal.
Idrissa DiengVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Gamou FallVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Adama TallScientific Direction, Institut Pasteur de Dakar, Dakar, Senegal.
Oumar FayeVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Ousmane FayeVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Amadou A SallVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Cheikh LoucoubarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, 36, Avenue Pasteur, BP 220, Dakar, Senegal. cheikh.loucoubar@pasteur.sn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic in Senegal, contact tracing was done to identify transmission clusters, their analysis allowed to understand their dynamics and evolution. In this study, we used information from the surveillance data and phone interviews to construct, represent and analyze COVID-19 transmission clusters from March 2, 2020, to May 31, 2021. In total, 114,040 samples were tested and 2153 transmission clusters identified. A maximum of 7 generations of secondary infections were noted. Clusters had an average of 29.58 members and 7.63 infected among them; their average duration was 27.95 days. Most of the clusters (77.3%) are concentrated in Dakar, capital city of Senegal. The 29 cases identified as super-spreaders, i.e., the indexes that had the most positive contacts, showed few symptoms or were asymptomatic. Deepest transmission clusters are those with the highest percentage of asymptomatic members. The correlation between proportion of asymptomatic and degree of transmission clusters showed that asymptomatic strongly contributed to the continuity of transmission within clusters. During this pandemic, all the efforts towards epidemiological investigations, active case-contact detection, allowed to identify in a short delay growing clusters and help response teams to mitigate the spread of the disease.

Indexed as

COVID-19SARS-CoV-2Contact TracingHumansPandemicsSenegal

Identifiers

PMID37277417
PMCPMC10240476

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Registered trials

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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.