Cited by 54SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

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

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Abu-Raddad, Laith J., Chemaitelly, Hiam, Ayoub, Houssein H., Coyle, Peter, Malek, Joel A., Ahmed, Ayeda A., Mohamoud, Yasmin A., Younuskunju, Shameem +16 more·2021·PLOS Medicine

Abstract

Background: The 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 findings: Reinfections 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. Conclusions: In 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.

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Crossref · 10.1371/journal.pmed.1003879

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  • S-gene target failure is a well-established proxy for BA.1 infection, and non-S-gene target failure is a proxy for BA.2 infection.

    “An S-gene target failure was used as a proxy for BA.1 infection, and a non–S-gene target failure was used as a proxy for BA.2 infection.”
  • Ascertainment of BA.1 and BA.2 infections used proxy criteria, but this method is well established.

    “Ascertainment of BA.1 and BA.2 infections was based on proxy criteria, but this method of ascertainment is well established.24,29,30”
  • The method of ascertaining BA.1 and BA.2 using S-gene target failure (SGTF) with the TaqPath PCR assay is well established for Omicron subvariants and for other variants such as Alpha.

    “BA.1 and BA.2 ascertainment was based on proxy criteria, presence or absence of an S-gene “target failure” using the TaqPath PCR assay (Methods), but this method of ascertainment is well established not only for Omicron subvariants, but also for other variants such as Alpha27–29.”

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Research works printed but not linked: 2

  1. [38]Robert Koch Institute. Epidemiologisches Bulletin: Krankheitsschwere von COVID-19, Nowcasting: Erkrankungsfälle und Reproduktionszahl. Berlin: Robert Koch Institute; 2020 [cited 2021 May 28]. Available from: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/17_20.pdf?__blob=publicationFile.
  2. [50]Abu-Raddad LJ, Chemaitelly H, Ayoub HH, Yassine HM, Benslimane FM, Al Khatib HA, et al. Severity, criticality, and fatality of the SARS-CoV-2 Beta variant. Clin Infect Dis. 2021 Oct 17. doi: 10.1093/cid/ciab909 34657152 PMC9402694 · DOI

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Authors
Abu-Raddad, L. J., Chemaitelly, H., Ayoub, H. H., Coyle, P., Malek, J. A., Ahmed, A. A., Mohamoud, Y. A., Younuskunju, S., Tang, P., Al Kanaani, Z., Al Kuwari, E., Butt, A. A., Jeremijenko, A., Kaleeckal, A. H., Latif, A. N., Shaik, R. M., Abdul Rahim, H. F., Nasrallah, G. K., Yassine, H. M., Al Kuwari, M. G., Al Romaihi, H. E., Al-Thani, M. H., Al Khal, A., & Bertollini, R.
Affiliations
  • Cornell University (US)
  • Qatar University (QA)
  • Queen's University Belfast (GB)
  • Sidra Medical and Research Center (QA)
  • Hamad Medical Corporation (QA)
  • Ministry of Public Health (QA)
Corresponding author
Abu-Raddad, Laith J.
Venue
PLOS Medicine
Published
2021-12-16
Volume
18
Issue
12
Pages
e1003879
ISSN
  • 1549-1277 (ISSN-L)
  • 1549-1676
OpenAlex
W4200553670
Cited by
54
References
59
Citations by year
2025: 5 · 2024: 4 · 2023: 19 · 2022: 24 · 2021: 2
FWCI
3.88
Type
journal article
Language
en
Open access
Locations
  • PLoS Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Portal (Queen's University Belfast) (submittedVersion, cc-by)
  • Qatar University QSpace (Qatar University) (submittedVersion, cc-by)
Funders
Qatar Genome Programme
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
Keywords
SARS-CoV-2, B.1.1.7 variant, Alpha variant, reinfection, natural immunity, prior infection, epidemic waves, infectiousness, Qatar
MeSH terms
Reinfection, COVID-19, SARS-CoV-2, Adolescent, Adult, Aged, Aged, 80 and over, Child, Female, Humans, Immunity, Innate, Male, Middle Aged, Models, Theoretical, Qatar, Retrospective Studies, Time Factors, Polymerase Chain Reaction, Basic Reproduction Number, Young Adult

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