Evidence map›Paper›PMID 34066231›Full record

ArticleViruses2021

Influence of SARS-CoV-2 Variant B.1.1.7, Vaccination, and Public Health Measures on the Spread of SARS-CoV-2.

Chloé Dimeglio, Marine Milhes, Jean-Michel Loubes, Noémie Ranger, Jean-Michel Mansuy, Pauline Trémeaux, Nicolas Jeanne, Justine Latour, Florence Nicot, Cécile Donnadieu and 1 more

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

11 authors.

Chloé DimeglioINSERM UMR1291-CNRS UMR5051, Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), 31300 Toulouse, France.
Marine MilhesGenotoul-Genome & Transcriptome-Plateforme Génomique (GeT-PlaGe), US INRAe 1426, 31326 Castanet-Tolosan, France.
Jean-Michel LoubesInstitut de Mathématiques de Toulouse, Université de Toulouse, 31400 Toulouse, France.ORCID 0000-0002-1252-2960
Noémie RangerVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.ORCID 0000-0003-3566-0706
Jean-Michel MansuyVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.
Pauline TrémeauxVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.
Nicolas JeanneVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.
Justine LatourVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.
Florence NicotVirology Laboratory, Centre Hospitalier Universitaire de Toulouse, Hôpital Purpan, 31300 Toulouse, France.
Cécile DonnadieuGenotoul-Genome & Transcriptome-Plateforme Génomique (GeT-PlaGe), US INRAe 1426, 31326 Castanet-Tolosan, France.
Jacques IzopetINSERM UMR1291-CNRS UMR5051, Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), 31300 Toulouse, France.ORCID 0000-0002-8462-3234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of SARS-CoV-2 and the resulting disease COVID-19 has killed over 2.6 million people as of 18 March 2021. We have used a modified susceptible, infected, recovered (SIR) epidemiological model to predict how the spread of the virus in regions of France will vary depending on the proportions of variants and on the public health strategies adopted, including anti-COVID-19 vaccination. The proportion of SARS-CoV-2 variant B.1.1.7, which was not detected in early January, increased to become 60% of the forms of SARS-CoV-2 circulating in the Toulouse urban area at the beginning of February 2021, but there was no increase in positive nucleic acid tests. Our prediction model indicates that maintaining public health measures and accelerating vaccination are efficient strategies for the sustained control of SARS-CoV-2.

Indexed as

COVID-19COVID-19 VaccinesEpidemiologic MethodsFranceHumansPublic HealthSARS-CoV-2VaccinationCOVID-19 Vaccinespublic healthSARS-CoV-2statistical modelvariant B.1.1.7

Identifiers

PMID34066231
PMCPMC8151774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.