Xie Songsong, Su Yinxia, Zhao Yanji, Du Yaling, Guo Zihao, Gu Xiu, Sun Jie, Javanbakht Mohammad, He Daihai, Zhang Jiazhen, Zhang Yan, Wang Kai, Zhao Shi
NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University, Shihezi 832000, China.
Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China.
Infect Dis Model. 2024 Oct 9;10(1):201-206. doi: 10.1016/j.idm.2024.10.002. eCollection 2025 Mar.
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.
新冠病毒病(COVID-19)和流感等呼吸道疾病的爆发已引起全球关注。然而,甲型流感感染风险是否会受到严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染史的影响仍不清楚。在本研究中,我们开展了一项检测阴性病例对照研究,并使用逻辑回归模型分析SARS-CoV-2感染与甲型流感感染之间的关系。在258例符合条件的流感样疾病(ILI)患者样本中,我们未检测到SARS-CoV-2感染史与甲型流感感染风险之间存在统计学显著关联。这些发现可能表明,通过接种疫苗或自然免疫获得的抗新冠病毒抗体并未对流感起到防护作用。