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A tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China: A test-negative study

  • Songsong Xie
  • , Yinxia Su
  • , Yanji Zhao
  • , Yaling Du
  • , Zihao Guo
  • , Xiu Gu
  • , Jie Sun
  • , Mohammad Javanbakht
  • , Daihai He
  • , Jiazhen Zhang
  • , Yan Zhang
  • , Kai Wang
  • , Shi Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The outbreak of respiratory diseases, such as COVID-19 and influenza, has drawn global attention. However, it remains unclear whether the risk of influenza A infection may be affected by the history of SARS-CoV-2 infection. In this study, we conducted a test-negative case-control study, and utilized a logistic regression model to analyze the relationship between SARS-CoV-2 and influenza A infections. Among 258 eligible patient samples with influenza-like illness (ILI), we did not detect a statistically significant association between the history of SARS-CoV-2 infection and the risk of influenza A infection. These findings might indicate that antibodies against COVID-19 acquired through vaccination or natural immunity have not protected against influenza.

Original languageEnglish
Pages (from-to)201-206
Number of pages6
JournalInfectious Disease Modelling
Volume10
Issue number1
DOIs
Publication statusPublished - Mar 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • China
  • COVID-19
  • Influenza A
  • test-negative study

ASJC Scopus subject areas

  • Health Policy
  • Infectious Diseases
  • Applied Mathematics

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