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Risk of and duration of protection from SARS-CoV-2 reinfection assessed with real-world data.

Shannon L ReynoldsHarvey W KaufmanWilliam A MeyerChris BushOren CohenKathy CroninCarly KabelacSandy LeonardSteve AndersonValentina PetkovDouglas LowyNorman SharplessLynne Penberthy
Published in: PloS one (2023)
This retrospective observational study aimed to gain a better understanding of the protective duration of prior SARS-CoV-2 infection against reinfection. The objectives were two-fold: to assess the durability of immunity to SARS-CoV-2 reinfection among initially unvaccinated individuals with previous SARS-CoV-2 infection, and to evaluate the crude SARS-CoV-2 reinfection rate and associated risk factors. During the pandemic era time period from February 29, 2020, through April 30, 2021, 144,678,382 individuals with SARS-CoV-2 molecular diagnostic or antibody test results were studied. Rates of reinfection among index-positive individuals were compared to rates of infection among index-negative individuals. Factors associated with reinfection were evaluated using multivariable logistic regression. For both objectives, the outcome was a subsequent positive molecular diagnostic test result. Consistent with prior findings, the risk of reinfection among index-positive individuals was 87% lower than the risk of infection among index-negative individuals. The duration of protection against reinfection was stable over the median 5 months and up to 1-year follow-up interval. Factors associated with an increased reinfection risk included older age, comorbid immunologic conditions, and living in congregate care settings; healthcare workers had a decreased reinfection risk. This large US population-based study suggests that infection induced immunity is durable for variants circulating pre-Delta predominance.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • healthcare
  • palliative care
  • coronavirus disease
  • physical activity
  • machine learning
  • cross sectional
  • oxidative stress
  • dna methylation
  • big data
  • chronic pain
  • diabetic rats