Selected article for: "negative test and recent study"
Author: Lundberg, Lisa; Bygdell, Maria; Stukat von Feilitzen, Gustaf; Woxenius, Susanne; Ohlsson, Claes; Kindblom, Jenny M.; Leach, Susannah
Title: Recent MMR vaccination in health care workers and Covid-19: A test negative case-control study
  • Cord-id: tcxiyy1h
  • Document date: 2021_6_22
    • ID: tcxiyy1h
    Snippet: BACKGROUND: It has been hypothesised that the measles-mumps-rubella (MMR) vaccine may afford cross-protection against SARS-CoV-2 which may contribute to the wide variability in disease severity of Covid-19. METHODS: We employed a test negative case-control study, utilising a recent measles outbreak during which many healthcare workers received the MMR vaccine, to investigate the potential protective effect of MMR against SARS-CoV-2 in 5905 subjects (n = 805 males, n = 5100 females). RESULTS: The
    Document: BACKGROUND: It has been hypothesised that the measles-mumps-rubella (MMR) vaccine may afford cross-protection against SARS-CoV-2 which may contribute to the wide variability in disease severity of Covid-19. METHODS: We employed a test negative case-control study, utilising a recent measles outbreak during which many healthcare workers received the MMR vaccine, to investigate the potential protective effect of MMR against SARS-CoV-2 in 5905 subjects (n = 805 males, n = 5100 females). RESULTS: The odds ratio for testing positive for SARS-CoV-2, in recently MMR-vaccinated compared to not recently MMR-vaccinated individuals was 0.91 (95% CI 0.76, 1.09). An interaction analysis showed a significant interaction for sex. After sex-stratification, the odds ratio for testing positive for males was 0.43 (95% CI 0.24, 0.79, P = 0.006), and 1.01 (95% CI 0.83, 1.22, P = 0.92) for females. CONCLUSION: Our results indicate that there may be a protective effect of the MMR vaccine against SARS-CoV-2 in males but not females.

    Search related documents:
    Co phrase search for related documents
    • adjust logistic regression model and logistic regression: 1, 2, 3, 4
    • adjust logistic regression model and logistic regression model: 1, 2, 3, 4
    • administrative personnel and logistic regression: 1, 2, 3, 4, 5
    • administrative personnel and logistic regression model: 1
    • logistic regression and long term sick leave: 1
    • logistic regression model and long term sick leave: 1