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 language | English |
|---|---|
| Pages (from-to) | 201-206 |
| Number of pages | 6 |
| Journal | Infectious Disease Modelling |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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