Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18
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DOI：
10.1186/s12889-019-7174-6
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发表时间：
2019-07-04
影响因子：
4.5
通讯作者：
Blanchon, Thierry
中科院分区：
文献类型：
--
作者：
Guerrisi, Caroline;Ecollan, Marie;Blanchon, Thierry
背景流感对发病率、死亡率和相关成本产生了重大的社会影响。这项研究的目的是确定在季节性流感流行期间普通人群中与流感样疾病(ILI)发病相关的因素。方法在2012/13至2017/18年间，利用GrispeNet.fr众包队列进行前瞻性研究。在完成详细的社会人口统计、生活方式和健康特征的年度概况调查后，参与者每周报告症状数据。结果2012/13至2017/18年度，6992人至少参与1次ILI，其中61%为女性(n=4258)。在流感流行期间，从11%(2013/14年469/4140人)到29%(2012/13年866/2943人)经历了至少一次ILI。女性(OR=1.29，95%CI[1.20；1.40])、年轻(75岁：0.70[0.56；0.87])和接种流感疫苗(0.91[0.84；0.99])是ILI的保护性因素。这表明众包队列是在群体水平研究ILI决定因素的有效方法。这些发现可用于在人口层面调整流感预防信息，以减少疾病的传播。
BackgroundInfluenza 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.MethodsA 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.ResultsFrom 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 (= 75years 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.ConclusionsThis 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.