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    Bivalent mRNA-1273.214 vaccine effectiveness against SARS-CoV-2 omicron XBB* infections

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    Date
    2023-09-05
    Author
    Chemaitelly, Hiam
    Ayoub, Houssein H.
    AlMukdad, Sawsan
    Faust, Jeremy S.
    Tang, Patrick
    Coyle, Peter
    Yassine, Hadi M.
    Al Thani, Asmaa A.
    Al-Khatib, Hebah A.
    Hasan, Mohammad R.
    Al-Kanaani, Zaina
    Al-Kuwari, Einas
    Jeremijenko, Andrew
    Kaleeckal, Anvar H.
    Latif, Ali N.
    Shaik, Riyazuddin M.
    Abdul-Rahim, Hanan F.
    Nasrallah, Gheyath K.
    Al-Kuwari, Mohamed G.
    Butt, Adeel A.
    Al-Romaihi, Hamad E.
    Al-Thani, Mohamed H.
    Al-Khal, Abdullatif
    Bertollini, Roberto
    Abu-Raddad, Laith J.
    ...show more authors ...show less authors
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    Abstract
    In October of 2022, Qatar introduced COVID-19 bivalent vaccination for persons ≥ 12 years using the 50-μg mRNA-1273.214 vaccine combining SARS-CoV-2 ancestral and omicron BA.1 strains.1 We estimated this vaccine’s effectiveness against SARS-CoV-2 infection. Using Qatar’s national SARS-CoV-2 databases, we conducted a matched, retrospective, cohort study to compare infection incidence in the national cohort of persons who received the vaccine (bivalent cohort) to that in the national cohort of Qatar residents whose last vaccination was ≥6 months before follow-up start (no-recent-vaccination cohort; Supplementary Appendix 1). The 6-month cut-off was chosen because of negligible effectiveness of first-generation vaccines against omicron infection ≥ 6 months after vaccination.2 Incidence of infection was defined as the first SARS-CoV-2 PCR-positive or rapid-antigen-positive test after the start of follow-up, regardless of symptoms. Cohorts were balanced on observed confounders through exact matching. Follow-up started 7 days after the person in the bivalent cohort received their vaccine dose. Associations were estimated using Cox proportional-hazards models adjusted for the matching factors and testing rate.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85169846797&origin=inward
    DOI/handle
    http://dx.doi.org/10.1093/jtm/taad106
    http://hdl.handle.net/10576/47962
    Collections
    • Biomedical Sciences [‎802‎ items ]
    • COVID-19 Research [‎848‎ items ]

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