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Frequency and risk of SARS-CoV-2 reinfections in Norway: a nation-wide study, February 2020 to January 2022.
Bøås, Håkon; Storm, Margrethe Larsdatter; Tapia, German; Kristoffersen, Anja Bråthen; Løvlie, Astrid Louise; Størdal, Ketil; Lyngstad, Trude Marie; Bragstad, Karoline; Hungnes, Olav; Veneti, Lamprini.
Afiliação
  • Bøås H; Department of Infection Control and Vaccines, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway. Hakon.Boas@fhi.no.
  • Storm ML; Department of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway.
  • Tapia G; Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
  • Kristoffersen AB; Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway.
  • Løvlie AL; Department of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway.
  • Størdal K; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
  • Lyngstad TM; Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway.
  • Bragstad K; Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
  • Hungnes O; Department of Virology, Norwegian Institute of Public Health, Oslo, Norway.
  • Veneti L; Department of Virology, Norwegian Institute of Public Health, Oslo, Norway.
BMC Public Health ; 24(1): 181, 2024 01 15.
Article em En | MEDLINE | ID: mdl-38225588
ABSTRACT

BACKGROUND:

SARS-CoV-2 reinfection rates have been shown to vary depending on the circulating variant, vaccination status and background immunity, as well as the time interval used to identify reinfections. This study describes the frequency of SARS-CoV-2 reinfections in Norway using different time intervals and assesses potential factors that could impact the risk of reinfections during the different variant waves.

METHODS:

We used linked individual-level data from national registries to conduct a retrospective cohort study including all cases with a positive test for SARS-CoV-2 from February 2020 to January 2022. Time intervals of 30, 60, 90 or 180 days between positive tests were used to define potential reinfections. A multivariable Cox regression model was used to assess the risk of reinfection in terms of variants adjusting for vaccination status, demographic factors, and underlying comorbidities.

RESULTS:

The reinfection rate varied between 0.2%, 0.6% and 5.9% during the Alpha, Delta and early Omicron waves, respectively. In the multivariable model, younger age groups were associated with a higher risk of reinfection compared to older age groups, whereas vaccination was associated with protection against reinfection. Moreover, the risk of reinfection followed a pattern similar to risk of first infection. Individuals infected early in the pandemic had higher risk of reinfection than individuals infected in more recent waves.

CONCLUSIONS:

Reinfections increased markedly during the Omicron wave. Younger individuals, and primary infections during earlier waves were associated with an increased reinfection risk compared to primary infections during more recent waves, whereas vaccination was a protective factor. Our results highlight the importance of age and post infection waning immunity and are relevant when evaluating vaccination polices.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reinfecção / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reinfecção / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article