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Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008

Please cite this paper as: Allard et al. (2012) Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008. Influenza and Other Respiratory Viruses 6(4), 268–275. Background  Shared seasonal patterns, such as between influenza and some respiratory bacter...

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Autores principales: Allard, R., Couillard, M., Pilon, P., Kafka, M., Bédard, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779805/
https://www.ncbi.nlm.nih.gov/pubmed/21985083
http://dx.doi.org/10.1111/j.1750-2659.2011.00297.x
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author Allard, R.
Couillard, M.
Pilon, P.
Kafka, M.
Bédard, L.
author_facet Allard, R.
Couillard, M.
Pilon, P.
Kafka, M.
Bédard, L.
author_sort Allard, R.
collection PubMed
description Please cite this paper as: Allard et al. (2012) Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008. Influenza and Other Respiratory Viruses 6(4), 268–275. Background  Shared seasonal patterns, such as between influenza and some respiratory bacterial infections, can create associations between phenomena not causally related. Objectives  To estimate the association of influenza with subsequent bacterial infections after full adjustment for confounding by seasonal and long‐term trends. Methods  Time series of weekly counts of notified cases of invasive infections with Haemophilus influenzae, Neisseria meningitidis, Streptococcus pneumoniae and Streptococcus pyogenes, in Montréal, Canada, 1996–2008, were modelled by negative binomial regression, with terms representing seasonal and long‐term trends and terms for numbers of positive laboratory tests for influenza A and B. Results  The associations of S. pneumoniae, H. influenzae and N. meningitidis with influenza disappeared after seasonal terms were added to the model. However, the influenza B count remained associated with the S. pyogenes counts for the same week and the following week: S. pyogenes incidence rate ratios were 1.0376 (95% CI: 1.0009–1.0757) and 1.0354 (0.9958–1.0766), respectively, for each increase of 1 in the influenza count. Conclusions  Influenza B accounts for about 8percnt; of the incidence of invasive S. pyogenes infections, over and above any effect associated with modellable seasonal and long‐term trends. This association of influenza B with S. pyogenes infections can be attributed largely to the years 1997, 2001, 2007 and 2008, when late peaks in influenza B counts were followed by peaks in S. pyogenes notifications. This finding reinforces the case for universal immunization against influenza, as partial protection against the ‘flesh eating disease’.
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spelling pubmed-57798052018-01-31 Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008 Allard, R. Couillard, M. Pilon, P. Kafka, M. Bédard, L. Influenza Other Respir Viruses Original Articles Please cite this paper as: Allard et al. (2012) Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008. Influenza and Other Respiratory Viruses 6(4), 268–275. Background  Shared seasonal patterns, such as between influenza and some respiratory bacterial infections, can create associations between phenomena not causally related. Objectives  To estimate the association of influenza with subsequent bacterial infections after full adjustment for confounding by seasonal and long‐term trends. Methods  Time series of weekly counts of notified cases of invasive infections with Haemophilus influenzae, Neisseria meningitidis, Streptococcus pneumoniae and Streptococcus pyogenes, in Montréal, Canada, 1996–2008, were modelled by negative binomial regression, with terms representing seasonal and long‐term trends and terms for numbers of positive laboratory tests for influenza A and B. Results  The associations of S. pneumoniae, H. influenzae and N. meningitidis with influenza disappeared after seasonal terms were added to the model. However, the influenza B count remained associated with the S. pyogenes counts for the same week and the following week: S. pyogenes incidence rate ratios were 1.0376 (95% CI: 1.0009–1.0757) and 1.0354 (0.9958–1.0766), respectively, for each increase of 1 in the influenza count. Conclusions  Influenza B accounts for about 8percnt; of the incidence of invasive S. pyogenes infections, over and above any effect associated with modellable seasonal and long‐term trends. This association of influenza B with S. pyogenes infections can be attributed largely to the years 1997, 2001, 2007 and 2008, when late peaks in influenza B counts were followed by peaks in S. pyogenes notifications. This finding reinforces the case for universal immunization against influenza, as partial protection against the ‘flesh eating disease’. Blackwell Publishing Ltd 2011-10-10 2012-07 /pmc/articles/PMC5779805/ /pubmed/21985083 http://dx.doi.org/10.1111/j.1750-2659.2011.00297.x Text en © 2011 Blackwell Publishing Ltd
spellingShingle Original Articles
Allard, R.
Couillard, M.
Pilon, P.
Kafka, M.
Bédard, L.
Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title_full Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title_fullStr Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title_full_unstemmed Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title_short Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008
title_sort invasive bacterial infections following influenza: a time‐series analysis in montréal, canada, 1996–2008
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779805/
https://www.ncbi.nlm.nih.gov/pubmed/21985083
http://dx.doi.org/10.1111/j.1750-2659.2011.00297.x
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