Predictors of influenza in the adult population during seasonal and A(H1N1)pdm09 pandemic influenza periods
(2014) In Epidemiology and Infection 142(5). p.950-954- Abstract
SUMMARY We aimed to assess whether the characteristics of influenza-like illness (ILI) cases in the general population were similar during the seasonal and pandemic A(H1N1)pdm09 influenza periods. We conducted a study using a general population database, which included demographic (sex, age) and clinical (underlying medical conditions, influenza vaccination status) information on more than 80 000 subjects. We assessed the most important predictors of ILI during each season by using multiple logistic regression. We descriptively compared whether they were similar during different seasons. The model, including all demographic and clinical characteristics, showed that age
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d1bf6200-80f5-49b0-beff-33f24c55494e
- author
- Gefenaite, G.
LU
; Tacken, M. ; Kolthof, J. ; Mulder, B. ; Korevaar, J. C. ; Stirbu-Wagner, I. ; Bos, J. ; Stolk, R. P. and Hak, E.
- publishing date
- 2014-05
- type
- Contribution to journal
- publication status
- published
- keywords
- A(H1N1)pdm09 influenza, descriptive characteristics, seasonal influenza
- in
- Epidemiology and Infection
- volume
- 142
- issue
- 5
- pages
- 950 - 954
- publisher
- Cambridge University Press
- external identifiers
-
- pmid:24073672
- scopus:84897084130
- ISSN
- 0950-2688
- DOI
- 10.1017/S0950268813002434
- project
- Infectious diseases surveillance, vaccine effectiveness and determinants of acceptance
- language
- English
- LU publication?
- no
- id
- d1bf6200-80f5-49b0-beff-33f24c55494e
- date added to LUP
- 2023-02-02 10:23:27
- date last changed
- 2025-04-10 11:03:17
@article{d1bf6200-80f5-49b0-beff-33f24c55494e, abstract = {{<p>SUMMARY We aimed to assess whether the characteristics of influenza-like illness (ILI) cases in the general population were similar during the seasonal and pandemic A(H1N1)pdm09 influenza periods. We conducted a study using a general population database, which included demographic (sex, age) and clinical (underlying medical conditions, influenza vaccination status) information on more than 80 000 subjects. We assessed the most important predictors of ILI during each season by using multiple logistic regression. We descriptively compared whether they were similar during different seasons. The model, including all demographic and clinical characteristics, showed that age</p>}}, author = {{Gefenaite, G. and Tacken, M. and Kolthof, J. and Mulder, B. and Korevaar, J. C. and Stirbu-Wagner, I. and Bos, J. and Stolk, R. P. and Hak, E.}}, issn = {{0950-2688}}, keywords = {{A(H1N1)pdm09 influenza; descriptive characteristics; seasonal influenza}}, language = {{eng}}, number = {{5}}, pages = {{950--954}}, publisher = {{Cambridge University Press}}, series = {{Epidemiology and Infection}}, title = {{Predictors of influenza in the adult population during seasonal and A(H1N1)pdm09 pandemic influenza periods}}, url = {{http://dx.doi.org/10.1017/S0950268813002434}}, doi = {{10.1017/S0950268813002434}}, volume = {{142}}, year = {{2014}}, }