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Predictors of influenza in the adult population during seasonal and A(H1N1)pdm09 pandemic influenza periods

Gefenaite, G. LU orcid ; Tacken, M. ; Kolthof, J. ; Mulder, B. ; Korevaar, J. C. ; Stirbu-Wagner, I. ; Bos, J. ; Stolk, R. P. and Hak, E. (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

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author
; ; ; ; ; ; ; and
publishing date
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}},
}