Evidence map›Paper›PMID 34715427›Full record

ArticleJournal of infection and public health2021

Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020.

Antoine Deslandes, Clémentine Calba, Sarah Mahdjoub, Aurélien Zhu-Soubise, Damian Mathey, Alexis Ardoin

Abstract read
In one paragraph

Article in Journal of infection and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
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

6 authors.

Antoine DeslandesHealth Surveillance and Safety Department, Regional Health Agency in the Ile-de-France Region (Agence Régionale de Santé d'Île-de-France), 13 rue du Landy, 93200 Saint-Denis, France. Electronic address: antoine.deslandes@orange.fr.
Clémentine Calba(2) Santé publique France, French National Public Health Agency, Regional Unit (Cire) Ile-de-France, 13 rue du Landy, 93200 Paris, France. Electronic address: clementine.calba@santepubliquefrance.fr.
Sarah Mahdjoub(2) Santé publique France, French National Public Health Agency, Regional Unit (Cire) Ile-de-France, 13 rue du Landy, 93200 Paris, France. Electronic address: sarah.mahdjoub@gmail.com.
Aurélien Zhu-Soubise(2) Santé publique France, French National Public Health Agency, Regional Unit (Cire) Ile-de-France, 13 rue du Landy, 93200 Paris, France. Electronic address: aurelien.zhu-soubise@santepubliquefrance.fr.
Damian MatheyHealth Surveillance and Safety Department, Regional Health Agency in the Ile-de-France Region (Agence Régionale de Santé d'Île-de-France), 13 rue du Landy, 93200 Saint-Denis, France. Electronic address: damian.mathey@ars.sante.fr.
Alexis ArdoinHealth Surveillance and Safety Department, Regional Health Agency in the Ile-de-France Region (Agence Régionale de Santé d'Île-de-France), 13 rue du Landy, 93200 Saint-Denis, France. Electronic address: alexis.ardoin@ars.sante.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 2020 COVID-19 pandemic led to a strict lockdown in France from March 17 to May 11, 2020. After the lockdown, the French strategy to mitigate the impact of SARS-CoV-2 relied partly on investigations of all confirmed cases. Monitoring collective settings is particularly important since SARS-CoV-2 seems prone to superspreading events (SSEs).

methodsOur study is based on data gathered in Paris from May 11 to December 31, 2020, by the Ile-de-France Regional Health Agency (RHA) to investigate cases occurring in collective and high-risk settings. Specific events in high-risk settings were systematically transmitted to the RHA, and screenings were organized by the facilities, while other settings were reported when three cases were identified within a short period. These settings were more difficult to identify through the surveillance system since no systematic screening was organized by the facility, leaving screenings to rely on the national contact-tracing programme. No official superspreading threshold has been set for SARS-CoV-2. We defined a SSE as an event involving ten cases.

resultsWe analysed 15,706 events associated with 38,670 cases, representing an average of 2.70 cases per event. Most clusters occurred in educational facilities, workplace environments, social care settings, and healthcare facilities. SSEs represented 3.4% but accounted for 28% of all cases reported. The highest number of SSEs occurred in college settings (12.6%), followed by hospitals and retirement homes. Educational facilities had the lowest number of SSEs, with around 1% in preschools and elementary schools.

conclusionsWe observed different SSE rates in each setting. Preschools and primary schools represented the majority of events but experiencing very few SSEs. Colleges were prone to SSEs and were associated with a high number of secondary cases. These findings provide some insights on contact tracing activities and SARS-CoV-2 transmission in different settings.

Indexed as

COVID-19SARS-CoV-2Child, PreschoolCommunicable Disease ControlHumansPandemicsParisRetrospective StudiesOutbreakSARS-CoV-2

Identifiers

PMID34715427
PMCPMC8493733

What OpenQuestion holds

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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.