Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113761
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorXie, Sen_US
dc.creatorSu, Yen_US
dc.creatorZhao, Yen_US
dc.creatorDu, Yen_US
dc.creatorGuo, Zen_US
dc.creatorGu, Xen_US
dc.creatorSun, Jen_US
dc.creatorJavanbakht, Men_US
dc.creatorHe, Den_US
dc.creatorZhang, Jen_US
dc.creatorZhang, Yen_US
dc.creatorWang, Ken_US
dc.creatorZhao, Sen_US
dc.date.accessioned2025-06-23T00:57:48Z-
dc.date.available2025-06-23T00:57:48Z-
dc.identifier.issn2468-0427en_US
dc.identifier.urihttp://hdl.handle.net/10397/113761-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2024 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Xie, S., Su, Y., Zhao, Y., Du, Y., Guo, Z., Gu, X., Sun, J., Javanbakht, M., He, D., Zhang, J., Zhang, Y., Wang, K., & Zhao, S. (2025). A tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China: A test-negative study. Infectious Disease Modelling, 10(1), 201-206 is available at https://doi.org/10.1016/j.idm.2024.10.002.en_US
dc.subjectChinaen_US
dc.subjectCOVID-19en_US
dc.subjectInfluenza Aen_US
dc.subjectTest-negative studyen_US
dc.titleA tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China : a test-negative studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage201en_US
dc.identifier.epage206en_US
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1016/j.idm.2024.10.002en_US
dcterms.abstractThe 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInfectious disease modelling, Mar. 2025, v. 10, no. 1, p. 201-206en_US
dcterms.isPartOfInfectious disease modellingen_US
dcterms.issued2025-03-
dc.identifier.scopus2-s2.0-85206118513-
dc.description.validate202506 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3734, a3846a-
dc.identifier.SubFormID50903, 51321, 51322, 51323-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences (Grant No.: 2020-PT330-003), the youth science and technology innovation talent of Tianshan Talent Training Program in Xinjiang (Grant No.: 2022TSYCCX0099), major science and technology projects of Xinjiang Uygur Autonomous Region (Grant No.: 2020A03004-3), and the 14-th Five-Year Plan Distinctive Program of Public Health and Preventive Medicine in Higher Education Institutions of Xinjiang Uygur Autonomous Region, China. SZ was supported by the National Natural Science Foundation of China (Grant No.: 12401648), and Tianjin Medical University start-up funding (Grant No.: 116003-DW010046).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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