Evidence map›Paper›PMID 34914711›Full record

ArticlePLoS medicine2021

Introduction and expansion of the SARS-CoV-2 B.1.1.7 variant and reinfections in Qatar: A nationally representative cohort study.

Laith J Abu-Raddad, Hiam Chemaitelly, Houssein H Ayoub, Peter Coyle, Joel A Malek, Ayeda A Ahmed, Yasmin A Mohamoud, Shameem Younuskunju, Patrick Tang, Zaina Al Kanaani and 14 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  19. COVID-19 vaccination challenges: A mini-review.Human vaccines & immunotherapeutics · 2022
    Review
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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

24 authors at 7 institutions in 3 countries.

Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0003-0790-0506
Hiam ChemaitellyInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0002-8756-6968
Houssein H AyoubMathematics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, Doha, Qatar.ORCID 0000-0003-2512-6657
Peter CoyleHamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-0819-6103
Joel A MalekGenomics Laboratory, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0002-1516-8477
Ayeda A AhmedGenomics Laboratory, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
Yasmin A MohamoudGenomics Laboratory, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
Shameem YounuskunjuGenomics Laboratory, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0001-8971-5149
Patrick TangDepartment of Pathology, Sidra Medicine, Doha, Qatar.ORCID 0000-0003-1583-5484
Zaina Al KanaaniHamad Medical Corporation, Doha, Qatar.
Einas Al KuwariHamad Medical Corporation, Doha, Qatar.
Adeel A ButtDepartment of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York, United States of America.ORCID 0000-0002-1118-1826
Andrew JeremijenkoHamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-0375-2713
Anvar Hassan KaleeckalHamad Medical Corporation, Doha, Qatar.
Ali Nizar LatifHamad Medical Corporation, Doha, Qatar.ORCID 0000-0001-9011-4391
Riyazuddin Mohammad ShaikHamad Medical Corporation, Doha, Qatar.
Hanan F Abdul RahimCollege of Health Sciences, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0002-3719-5142
Gheyath K NasrallahBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-9252-1038
Hadi M YassineBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-7592-2788
Mohamed Ghaith Al KuwariPrimary Health Care Corporation, Doha, Qatar.ORCID 0000-0002-9158-5395
Hamad Eid Al RomaihiMinistry of Public Health, Doha, Qatar.ORCID 0000-0002-6611-839X
Mohamed H Al-ThaniMinistry of Public Health, Doha, Qatar.
Abdullatif Al KhalHamad Medical Corporation, Doha, Qatar.ORCID 0000-0003-3737-8253
Roberto BertolliniMinistry of Public Health, Doha, Qatar.ORCID 0000-0003-3606-9344
Hamad Medical Corporation · QAWeill Cornell Medical College in Qatar · QAQatar University · QAMinistry of Public Health · QACornell University · USPrimary Health Care · QAQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiology of the SARS-CoV-2 B.1.1.7 (or Alpha) variant is insufficiently understood. This study's objective was to describe the introduction and expansion of this variant in Qatar and to estimate the efficacy of natural infection against reinfection with this variant. METHODS AND

findingsReinfections with the B.1.1.7 variant and variants of unknown status were investigated in a national cohort of 158,608 individuals with prior PCR-confirmed infections and a national cohort of 42,848 antibody-positive individuals. Infections with B.1.1.7 and variants of unknown status were also investigated in a national comparator cohort of 132,701 antibody-negative individuals. B.1.1.7 was first identified in Qatar on 25 December 2020. Sudden, large B.1.1.7 epidemic expansion was observed starting on 18 January 2021, triggering the onset of epidemic's second wave, 7 months after the first wave. B.1.1.7 was about 60% more infectious than the original (wild-type) circulating variants. Among persons with a prior PCR-confirmed infection, the efficacy of natural infection against reinfection was estimated to be 97.5% (95% CI: 95.7% to 98.6%) for B.1.1.7 and 92.2% (95% CI: 90.6% to 93.5%) for variants of unknown status. Among antibody-positive persons, the efficacy of natural infection against reinfection was estimated to be 97.0% (95% CI: 92.5% to 98.7%) for B.1.1.7 and 94.2% (95% CI: 91.8% to 96.0%) for variants of unknown status. A main limitation of this study is assessment of reinfections based on documented PCR-confirmed reinfections, but other reinfections could have occurred and gone undocumented.

conclusionsIn this study, we observed that introduction of B.1.1.7 into a naïve population can create a major epidemic wave, but natural immunity in those previously infected was strongly associated with limited incidence of reinfection by B.1.1.7 or other variants.

Indexed as

SARS-CoV-2AdolescentAdultAgedAged, 80 and overBasic Reproduction NumberChildCOVID-19FemaleHumansImmunity, InnateMaleMiddle AgedModels, TheoreticalPolymerase Chain ReactionQatar

Identifiers

PMID34914711
PMCPMC8726501
OpenAlexW4200553670

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.