Evidence map›Paper›PMID 38978956›Full record

ReviewNew microbes and new infections

Evidence for transmission of SARS-CoV-2 at religious mass gatherings: A systematic review.

Ndiaw Goumballa, Van Thuan Hoang, Jaffar A Al-Tawfiq, Cheikh Sokhna, Philippe Gautret

Abstract readReview
In one paragraph

Review in New microbes and new infections. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Ndiaw GoumballaIHU-Méditerranée Infection, Marseille, France.
Van Thuan HoangThai Binh University of Medicine and Pharmacy, Thai Binh, Viet Nam.
Jaffar A Al-TawfiqSpecialty Internal Medicine and Quality Patient Safety Department, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Cheikh SokhnaIHU-Méditerranée Infection, Marseille, France.
Philippe GautretIHU-Méditerranée Infection, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transmission of SARS-CoV-2 at major mass gatherings (MGs) has been observed during the COVID-19 pandemic. Methods: In this systematic review done according to the PRISMA guidelines, PubMed and Scopus databases were searched for relevant studies to describe the epidemiology of SARS-CoV-2 in relation to major religious MGs including the Grand Magal of Touba (GMT), Hajj, Umrah, Kumbh Mela, Arbaeen and Lourdes pilgrimage during the COVID-19 pandemic. Results: Ten articles met the inclusion criteria and were included.No cases of SARS-CoV-2 were detected at 2020 and 2021 GMT or at the 2020 Hajj. In a small study, 7 % of tested individuals were positive after the 2022 GMT. SARS-CoV-2 prevalence during the 2021-2022 Hajj and Umrah seasons varied from 0 to 15 % in different studies. At the 2021 Kumbh Mela, 0.4 million COVID-19 cases were diagnosed among returning pilgrims across India and 1 % tested positive during a one-day survey conducted on participants. During the 2021 Arbaeen pilgrimage, 3 % pilgrims were tested positive. No relevant data were found in relation to SARS-CoV-2 transmission at the 2021 Arbaeen and Lourdes pilgrimages. Conclusion: The transmission of the SARS-CoV-2 virus during religious MG events depends on many factors such as: the number and density of pilgrims, the intensity of circulation of the virus in the hosting country and in countries sending international participants at the time of the event, the transmissibility of virus variants at the time of the event, the various preventive measures adopted, and the immune status of the pilgrims.

Identifiers

PMID38978956
PMCPMC11228583

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.