Bibliographic Details
| Title: |
Non-linear effects of age in reporting of adverse events following influenza immunization in Zhejiang, China |
| Authors: |
Fuxing Chen, Yaping Chen, Hui Liang, Xuejiao Pan, Ying Wang, Lingzhi Shen, Yu Hu |
| Source: |
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-7 (2024) |
| Publisher Information: |
BMC, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Infectious and parasitic diseases |
| Subject Terms: |
Age, Non-linear effects, Influenza vaccine, Interactions, Adverse events following immunization, Infectious and parasitic diseases, RC109-216 |
| Description: |
Abstract Background Previous evidence had suggested age and sex affect the reporting rate of adverse events following immunization (AEFI), but with little exploration of potential their non-linear and interaction effects on AEFIs. Examining these non-linear effects could be beneficial for identifying high-risk populations. Methods Using AEFI records and vaccination data from national passive surveillance system of adverse event following immunization and Zhejiang provincial immunization information system in the 2021–2022 influenza season, respectively. The effects of age and sex on AEFIs were analyzed through the generalized additive model (logistic regression with a smooth term) to estimate non-linear characteristics after adjusting for other co-variables (adopted significance level p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2334 |
| Relation: |
https://doaj.org/toc/1471-2334 |
| DOI: |
10.1186/s12879-024-10385-1 |
| Access URL: |
https://doaj.org/article/bdf4735c92444832a604d4076e868c8f |
| Accession Number: |
edsdoj.bdf4735c92444832a604d4076e868c8f |
| Database: |
Directory of Open Access Journals |
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