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Comparative effectiveness of the BNT162b2 and ChAdOx1 vaccines against Covid-19 in people over 50

Author

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  • Junqing Xie

    (University of Oxford)

  • Shuo Feng

    (University of Oxford)

  • Xintong Li

    (University of Oxford)

  • Ester Gea-Mallorquí

    (University of Oxford)

  • Albert Prats-Uribe

    (University of Oxford)

  • Dani Prieto-Alhambra

    (University of Oxford)

Abstract

Although pivotal trials with varying populations and study methods suggest higher efficacy for mRNA than adenoviral Covid-19 vaccines, not many studies have directly compared vaccine effectiveness in the population. Here, we conduct a head-to-head comparison of BNT162b2 versus ChAdOx1 against Covid-19. We analyse 235,181 UK Biobank participants aged 50 years or older and vaccinated with one or two doses of BNT162b2 or ChAdOx1. People are followed from the vaccination date until 18/10/2021. Inverse probability weighting is used to minimise confounding and the Cox models to derive hazard ratio. We find that, compared with one dose of ChAdOx1, vaccination with BNT162b2 is associated with a 28% (95% CI, 12-42) decreased risk of SARS-CoV-2 infection. Also, two doses of BNT162b2 vs ChAdOx1 confers 30% (95% CI, 25-35) and 29% (95% CI, 10-45) lower risks of both infection and hospitalisation during the study period when the Delta variant is dominant. Furthermore, the comparative protection against the infection persists for at least six months among the fully vaccinated, suggesting no differential waning between the two vaccines. These findings can inform evidence-based Covid-19 vaccination campaigns and booster strategies.

Suggested Citation

  • Junqing Xie & Shuo Feng & Xintong Li & Ester Gea-Mallorquí & Albert Prats-Uribe & Dani Prieto-Alhambra, 2022. "Comparative effectiveness of the BNT162b2 and ChAdOx1 vaccines against Covid-19 in people over 50," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29159-x
    DOI: 10.1038/s41467-022-29159-x
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    References listed on IDEAS

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    1. Yongji Wang & Hongwei Cai & Chanjuan Li & Zhiwei Jiang & Ling Wang & Jiugang Song & Jielai Xia, 2013. "Optimal Caliper Width for Propensity Score Matching of Three Treatment Groups: A Monte Carlo Study," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    2. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
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    1. Junqing Xie & Beatriz Mothe & Marta Alcalde Herraiz & Chunxiao Li & Yu Xu & Annika M. Jödicke & Yaqing Gao & Yunhe Wang & Shuo Feng & Jia Wei & Zhuoyao Chen & Shenda Hong & Yeda Wu & Binbin Su & Xiaoy, 2024. "Relationship between HLA genetic variations, COVID-19 vaccine antibody response, and risk of breakthrough outcomes," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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