• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Arts & Sciences
  • Mathematics, Statistics & Physics
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Arts & Sciences
  • Mathematics, Statistics & Physics
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Protection conferred by SARS-CoV-2 infection across a spectrum of reinfection symptoms and severities

    Thumbnail
    View/Open
    e002718.full.pdf (731.4Kb)
    Date
    2025
    Author
    Sukik, Layan
    Chemaitelly, Hiam
    Ayoub, Houssein H
    Coyle, Peter
    Tang, Patrick
    Hasan, Mohammad R
    Yassine, Hadi M
    Al Thani, Asmaa A
    Al-Kanaani, Zaina
    Al-Kuwari, Einas
    Jeremijenko, Andrew
    Kaleeckal, Anvar Hassan
    Latif, Ali Nizar
    Shaik, Riyazuddin Mohammad
    Abdul-Rahim, Hanan F
    Nasrallah, Gheyath K
    Al-Kuwari, Mohamed Ghaith
    Butt, Adeel
    Al-Romaihi, Hamad Eid
    Al-Thani, Mohamed H
    Al-Khal, Abdullatif
    Bertollini, Roberto
    Abu-Raddad, Laith J
    ...show more authors ...show less authors
    Metadata
    Show full item record
    Abstract
    Background SARS-CoV-2 infection is associated with protection against reinfection. This study analysed this protection across different reinfection symptoms and severities, comparing the preomicron and omicron eras. Methods A nationwide, matched, test-negative, case-control study was conducted in Qatar from 5 February 2020 to 12 March 2024. The preomicron analysis used a sample of 509 949 positive and 8 494 782 negative tests, while the omicron analysis included 682 257 positive and 6 904 044 negative tests. Data were sourced from Qatar's national databases for COVID-19 laboratory testing, vaccination, hospitalisation and death. Results Effectiveness of preomicron infection against preomicron reinfection was estimated at 80.9% (95% CI: 79.1% to 82.6%) for asymptomatic reinfection, 87.5% (95% CI: 86.1% to 88.9%) for symptomatic reinfection, 97.8% (95% CI: 95.7% to 98.9%) for severe COVID-19 reinfection, 100.0% (95% CI: 97.5% to 100.0%) for critical COVID-19 reinfection and 88.1% (95% CI: 50.3% to 97.2%) for fatal COVID-19 reinfection. For omicron infection against omicron reinfection, the estimates were 46.4% (95% CI: 36.9% to 54.4%) for asymptomatic reinfection, 52.8% (95% CI: 44.4% to 60.0%) for symptomatic reinfection, 100.0% (95% CI: 55.4% to 100.0%) for severe COVID-19 reinfection, 100.0% (95% CI: 15.1% to 100.0%) for critical COVID-19 reinfection, and 75.2% (95% CI: -58.8% to 97.5%) for fatal COVID-19 reinfection. Effectiveness over time since previous infection showed no discernible decline in protection against all forms of reinfection in the preomicron era, but a rapid decline against asymptomatic and symptomatic reinfections in the omicron era. Conclusions A gradient of protection against reinfection is evident, with the highest protection observed against severe forms of COVID-19. Over time, this gradient becomes more pronounced, as protection against asymptomatic and symptomatic reinfections decreases, while protection against severe outcomes remains strong.
    DOI/handle
    http://dx.doi.org/10.1136/bmjresp-2024-002718
    http://hdl.handle.net/10576/65210
    Collections
    • Biomedical Research Center Research [‎808‎ items ]
    • Biomedical Sciences [‎833‎ items ]
    • COVID-19 Research [‎849‎ items ]
    • Mathematics, Statistics & Physics [‎792‎ items ]
    • Public Health [‎507‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video