Evidence map›Paper›PMID 38225588›Full record

ArticleBMC public health2024

Frequency and risk of SARS-CoV-2 reinfections in Norway: a nation-wide study, February 2020 to January 2022.

Håkon Bøås, Margrethe Larsdatter Storm, German Tapia, Anja Bråthen Kristoffersen, Astrid Louise Løvlie, Ketil Størdal, Trude Marie Lyngstad, Karoline Bragstad, Olav Hungnes, Lamprini Veneti

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Recent Vaccination Against SARS-CoV-2 Is Associated with Less Severe Disease in Working-Age Adults.International journal of environmental research and public health · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Håkon BøåsDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway. Hakon.Boas@fhi.no.
Margrethe Larsdatter StormDepartment of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway.
German TapiaDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Anja Bråthen KristoffersenDepartment of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway.
Astrid Louise LøvlieDepartment of Infectious Disease Registries, Norwegian Institute of Public Health, Oslo, Norway.
Ketil StørdalInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Trude Marie LyngstadDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Karoline BragstadDepartment of Virology, Norwegian Institute of Public Health, Oslo, Norway.
Olav HungnesDepartment of Virology, Norwegian Institute of Public Health, Oslo, Norway.
Lamprini VenetiDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Norwegian Institute of Public Health · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-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.

methodsWe 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.

resultsThe 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.

conclusionsReinfections 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.

Indexed as

COVID-19ReinfectionAgedHumansNorwayRetrospective StudiesSARS-CoV-2COVID-19NorwayOmicronReinfectionsSARS-CoV-2

Identifiers

PMID38225588
PMCPMC10789014
OpenAlexW4390879913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.