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Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18

BACKGROUND: Influenza generates a significant societal impact on morbidity, mortality, and associated costs. The study objective was to identify factors associated with influenza-like-illness (ILI) episodes during seasonal influenza epidemics among the general population. METHODS: A prospective stud...

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Autores principales: Guerrisi, Caroline, Ecollan, Marie, Souty, Cécile, Rossignol, Louise, Turbelin, Clément, Debin, Marion, Goronflot, Thomas, Boëlle, Pierre-Yves, Hanslik, Thomas, Colizza, Vittoria, Blanchon, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610908/
https://www.ncbi.nlm.nih.gov/pubmed/31272411
http://dx.doi.org/10.1186/s12889-019-7174-6
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author Guerrisi, Caroline
Ecollan, Marie
Souty, Cécile
Rossignol, Louise
Turbelin, Clément
Debin, Marion
Goronflot, Thomas
Boëlle, Pierre-Yves
Hanslik, Thomas
Colizza, Vittoria
Blanchon, Thierry
author_facet Guerrisi, Caroline
Ecollan, Marie
Souty, Cécile
Rossignol, Louise
Turbelin, Clément
Debin, Marion
Goronflot, Thomas
Boëlle, Pierre-Yves
Hanslik, Thomas
Colizza, Vittoria
Blanchon, Thierry
author_sort Guerrisi, Caroline
collection PubMed
description BACKGROUND: Influenza generates a significant societal impact on morbidity, mortality, and associated costs. The study objective was to identify factors associated with influenza-like-illness (ILI) episodes during seasonal influenza epidemics among the general population. METHODS: A prospective study was conducted with the GrippeNet.fr crowdsourced cohort between 2012/13 and 2017/18. After having completed a yearly profile survey detailing socio-demographic, lifestyle and health characteristics, participants reported weekly data on symptoms. Factors associated with at least one ILI episode per influenza epidemic, using the European Centre for Disease Prevention and Control case definition, were analyzed through a conditional logistic regression model. RESULTS: From 2012/13 to 2017/18, 6992 individuals participated at least once, and 61% of them were women (n = 4258). From 11% (n = 469/4140 in 2013/14) to 29% (n = 866/2943 in 2012/13) of individuals experienced at least one ILI during an influenza epidemic. Factors associated with higher risk for ILI were: gender female (OR = 1.29, 95%CI [1.20; 1.40]), young age (< 5 years old: 3.12 [2.05; 4.68]); from 5 to 14 years old: 1.53 [1.17; 2.00]), respiratory allergies (1.27 [1.18; 1.37]), receiving a treatment for chronic disease (1.20 [1.09; 1.32]), being overweight (1.18 [1.08; 1.29]) or obese (1.28 [1.14; 1.44]), using public transport (1.17 [1.07; 1.29]) and having contact with pets (1.18 [1.09; 1.27]). Older age (≥ 75 years old: 0.70 [0.56; 0.87]) and being vaccinated against influenza (0.91 [0.84; 0.99]) were found to be protective factors for ILI. CONCLUSIONS: This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7174-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-66109082019-07-16 Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18 Guerrisi, Caroline Ecollan, Marie Souty, Cécile Rossignol, Louise Turbelin, Clément Debin, Marion Goronflot, Thomas Boëlle, Pierre-Yves Hanslik, Thomas Colizza, Vittoria Blanchon, Thierry BMC Public Health Research Article BACKGROUND: Influenza generates a significant societal impact on morbidity, mortality, and associated costs. The study objective was to identify factors associated with influenza-like-illness (ILI) episodes during seasonal influenza epidemics among the general population. METHODS: A prospective study was conducted with the GrippeNet.fr crowdsourced cohort between 2012/13 and 2017/18. After having completed a yearly profile survey detailing socio-demographic, lifestyle and health characteristics, participants reported weekly data on symptoms. Factors associated with at least one ILI episode per influenza epidemic, using the European Centre for Disease Prevention and Control case definition, were analyzed through a conditional logistic regression model. RESULTS: From 2012/13 to 2017/18, 6992 individuals participated at least once, and 61% of them were women (n = 4258). From 11% (n = 469/4140 in 2013/14) to 29% (n = 866/2943 in 2012/13) of individuals experienced at least one ILI during an influenza epidemic. Factors associated with higher risk for ILI were: gender female (OR = 1.29, 95%CI [1.20; 1.40]), young age (< 5 years old: 3.12 [2.05; 4.68]); from 5 to 14 years old: 1.53 [1.17; 2.00]), respiratory allergies (1.27 [1.18; 1.37]), receiving a treatment for chronic disease (1.20 [1.09; 1.32]), being overweight (1.18 [1.08; 1.29]) or obese (1.28 [1.14; 1.44]), using public transport (1.17 [1.07; 1.29]) and having contact with pets (1.18 [1.09; 1.27]). Older age (≥ 75 years old: 0.70 [0.56; 0.87]) and being vaccinated against influenza (0.91 [0.84; 0.99]) were found to be protective factors for ILI. CONCLUSIONS: This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7174-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-04 /pmc/articles/PMC6610908/ /pubmed/31272411 http://dx.doi.org/10.1186/s12889-019-7174-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Guerrisi, Caroline
Ecollan, Marie
Souty, Cécile
Rossignol, Louise
Turbelin, Clément
Debin, Marion
Goronflot, Thomas
Boëlle, Pierre-Yves
Hanslik, Thomas
Colizza, Vittoria
Blanchon, Thierry
Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title_full Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title_fullStr Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title_full_unstemmed Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title_short Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
title_sort factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610908/
https://www.ncbi.nlm.nih.gov/pubmed/31272411
http://dx.doi.org/10.1186/s12889-019-7174-6
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