Age as a determinant for dissemination of seasonal and pandemic influenza: an open cohort study of influenza outbreaks in Östergötland County, Sweden

An understanding of the occurrence and comparative timing of influenza infections in different age groups is important for developing community response and disease control measures. This study uses data from a Scandinavian county (population 427.000) to investigate whether age was a determinant for...

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Bibliographic Details
Published in:PloS one 2012, Vol.7 (2), p.e31746-e31746
Main Authors: Timpka, Toomas, Eriksson, Olle, Spreco, Armin, Gursky, Elin A, Strömgren, Magnus, Holm, Einar, Ekberg, Joakim, Dahlström, Orjan, Valter, Lars, Eriksson, Henrik
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age
Age groups
Aged, 80 and over
Child
Child, Preschool
Cohort analysis
Cohort Studies
Correlation analysis
Councils
Data collection
Demographics
Diagnosis
Disease control
Disease Outbreaks
Electronic medical records
Female
Health sciences
Health surveillance
Humans
Infant
Infant, Newborn
Infections
Infectious diseases
Influenza
Influenza, Human - epidemiology
Influenza, Human - physiopathology
Information science
Male
Mathematics
Medicine
Outbreaks
Pandemics
Population
Public health
Regression Analysis
School closures
Seasons
Statistical analysis
Studies
Surveillance
Sweden
Swine flu
Variance analysis
Viruses
Young adults
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Summary:An understanding of the occurrence and comparative timing of influenza infections in different age groups is important for developing community response and disease control measures. This study uses data from a Scandinavian county (population 427.000) to investigate whether age was a determinant for being diagnosed with influenza 2005-2010 and to examine if age was associated with case timing during outbreaks. Aggregated demographic data were collected from Statistics Sweden, while influenza case data were collected from a county-wide electronic health record system. A logistic regression analysis was used to explore whether case risk was associated with age and outbreak. An analysis of variance was used to explore whether day for diagnosis was also associated to age and outbreak. The clinical case data were validated against case data from microbiological laboratories during one control year. The proportion of cases from the age groups 10-19 (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0031746