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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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Published in: | PloS one 2012, Vol.7 (2), p.e31746-e31746 |
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creator | Timpka, Toomas Eriksson, Olle Spreco, Armin Gursky, Elin A Strömgren, Magnus Holm, Einar Ekberg, Joakim Dahlström, Orjan Valter, Lars Eriksson, Henrik |
description | 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 |
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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<0.001) and 20-29 years old (p<0.01) were found to be larger during the A pH1N1 outbreak in 2009 than during the seasonal outbreaks. An interaction between age and outbreak was observed (p<0.001) indicating a difference in age effects between circulating virus types; this interaction persisted for seasonal outbreaks only (p<0.001). The outbreaks also differed regarding when the age groups received their diagnosis (p<0.001). A post-hoc analysis showed a tendency for the young age groups, in particular the group 10-19 year olds, led outbreaks with influenza type A H1 circulating, while A H3N2 outbreaks displayed little variations in timing. The validation analysis showed a strong correlation (r = 0.625;p<0.001) between the recorded numbers of clinically and microbiologically defined influenza cases. Our findings demonstrate the complexity of age effects underlying the emergence of local influenza outbreaks. Disentangling these effects on the causal pathways will require an integrated information infrastructure for data collection and repeated studies of well-defined communities.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0031746</identifier><identifier>PMID: 22384066</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2012, Vol.7 (2), p.e31746-e31746</ispartof><rights>2012 Timpka et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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<0.001) and 20-29 years old (p<0.01) were found to be larger during the A pH1N1 outbreak in 2009 than during the seasonal outbreaks. An interaction between age and outbreak was observed (p<0.001) indicating a difference in age effects between circulating virus types; this interaction persisted for seasonal outbreaks only (p<0.001). The outbreaks also differed regarding when the age groups received their diagnosis (p<0.001). A post-hoc analysis showed a tendency for the young age groups, in particular the group 10-19 year olds, led outbreaks with influenza type A H1 circulating, while A H3N2 outbreaks displayed little variations in timing. The validation analysis showed a strong correlation (r = 0.625;p<0.001) between the recorded numbers of clinically and microbiologically defined influenza cases. Our findings demonstrate the complexity of age effects underlying the emergence of local influenza outbreaks. Disentangling these effects on the causal pathways will require an integrated information infrastructure for data collection and repeated studies of well-defined communities.]]></description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Age groups</subject><subject>Aged, 80 and over</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Correlation analysis</subject><subject>Councils</subject><subject>Data collection</subject><subject>Demographics</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Disease Outbreaks</subject><subject>Electronic medical records</subject><subject>Female</subject><subject>Health sciences</subject><subject>Health surveillance</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Influenza</subject><subject>Influenza, Human - epidemiology</subject><subject>Influenza, Human - physiopathology</subject><subject>Information science</subject><subject>Male</subject><subject>Mathematics</subject><subject>Medicine</subject><subject>Outbreaks</subject><subject>Pandemics</subject><subject>Population</subject><subject>Public health</subject><subject>Regression Analysis</subject><subject>School closures</subject><subject>Seasons</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surveillance</subject><subject>Sweden</subject><subject>Swine flu</subject><subject>Variance analysis</subject><subject>Viruses</subject><subject>Young 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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<0.001) and 20-29 years old (p<0.01) were found to be larger during the A pH1N1 outbreak in 2009 than during the seasonal outbreaks. An interaction between age and outbreak was observed (p<0.001) indicating a difference in age effects between circulating virus types; this interaction persisted for seasonal outbreaks only (p<0.001). The outbreaks also differed regarding when the age groups received their diagnosis (p<0.001). A post-hoc analysis showed a tendency for the young age groups, in particular the group 10-19 year olds, led outbreaks with influenza type A H1 circulating, while A H3N2 outbreaks displayed little variations in timing. The validation analysis showed a strong correlation (r = 0.625;p<0.001) between the recorded numbers of clinically and microbiologically defined influenza cases. Our findings demonstrate the complexity of age effects underlying the emergence of local influenza outbreaks. Disentangling these effects on the causal pathways will require an integrated information infrastructure for data collection and repeated studies of well-defined communities.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22384066</pmid><doi>10.1371/journal.pone.0031746</doi><oa>free_for_read</oa></addata></record> |
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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 |
title | Age as a determinant for dissemination of seasonal and pandemic influenza: an open cohort study of influenza outbreaks in Östergötland County, Sweden |
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