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

ABSTRACT: 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.

SUBMITTER: Guerrisi C

PROVIDER: S-EPMC6610908 | biostudies-other | 2019 Jul

REPOSITORIES: biostudies-other

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

Guerrisi Caroline C Ecollan Marie M Souty Cécile C Rossignol Louise L Turbelin Clément C Debin Marion M Goronflot Thomas T Boëlle Pierre-Yves PY Hanslik Thomas T Colizza Vittoria V Blanchon Thierry T

BMC public health 20190704 1

<h4>Background</h4>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.<h4>Methods</h4>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 cha ...[more]

PMID: 31272411

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Project description:BackgroundAfrican populations are considered to be particularly vulnerable to fever illnesses, including malaria, and acute respiratory disease, owing to limited resources and overcrowding. However, the overall burden of influenza in this context is poorly defined and incidence data for African countries are scarce. We therefore studied the fever syndrome incidence and more specifically influenza incidence in a cohort of inhabitants of Dielmo and Ndiop in Sokone district, Senegal.MethodsDaily febrile-illness data were prospectively obtained from January 2012 to December 2013 from the cohort of the villages of Dielmo and Ndiop, initially dedicated to the study of malaria. Nasopharyngeal swabs were collected from, and malaria diagnosis tests (thick blood smears) carried out on, every febrile individual during clinical visits; reverse transcriptase-polymerase chain reaction was used to identify influenza viruses in the samples. Binomial negative regression analysis was used to study the relationship between the monthly incidence rate and various covariates.ResultsIn Dielmo and Ndiop, the incidence of malaria has decreased, but fever syndromes remain frequent. Among the 1036 inhabitants included in the cohort, a total of 1,129 episodes of fever were reported. Influenza was present all year round with peaks in October-December 2012 and August 2013. The fever, ILI and influenza incidence density rates differed significantly between age groups. At both sites, the adjusted incidence relative risks for fever syndromes and ILI were significantly higher in the [6-24 months) than other age groups: 7.3 (95%CI: [5.7-9.3]) and 16.1 (95%CI: [11.1-23.3]) respectively. The adjusted incidence relative risk for influenza was significantly higher for the [0-6 months) than other age groups: 9.9 (95%CI: [2.9-33.6]). At both sites, incidence density rates were lowest among adults > = 50 years.ConclusionsIn this rural setting in Senegal, influenza was most frequent among the youngest children. Preventive strategies targeting this population should be implemented.

Project description:BackgroundPakistan and other developing countries need to address disparities in maternal health care and factors associated with it. This justifies tracking the progress on two important indicators 'spousal violence' and 'maternal health care utilization' to improve maternal health and achieve Sustainable Development Goals (SDGs) for these nations.ObjectiveThe objective of this study is to compare the data from the latest two Demographic Health Surveys of Pakistan to identify trends in prevalence of various forms of spousal violence and maternal healthcare utilization and to determine the predictive role of spousal violence in poor maternal health.MethodsWe conducted a retrospective analysis of nationally representative data from the 2012-13 and 2017-18 PDHS. The data used in this analysis is from the domestic violence module and core women's questionnaire. Spousal violence and sociodemographic background were predictor variables. Terminated pregnancy, number of pregnancy losses, number of antenatal visits for last birth and institutional delivery for last birth were taken as indicators of maternal health. Logistic regression analysis was conducted to test for association between maternal health indicators and various forms of spousal violence after controlling for sociodemographic variables.ResultsAlmost one quarter of women experienced physical and emotional violence as revealed by both surveys. Binary analysis revealed that all forms of spousal violence significantly associate with maternal health variables in both surveys. The comparison of results on logistic regression analysis showed that odd ratios were relatively higher for 2012-13 as compared to 2017-18 PDHS. Logistic regression analysis from 2017-18 data showed that experience of less severe physical violence (OR = 1.26; 95% CI, 1.08-1.47), severe physical violence (OR = 1.41; 95% CI, 1.09-1.83), sexual violence (OR = 1.39; 95% CI, 1.02-1.89), physical violence during pregnancy (OR = 1.37; 95% CI, 1.07-1.76) augment the risk of terminated pregnancy. Emotional violence decreases the likelihood for institutional delivery (OR = 0.64; 95% CI, 0.45-0.93) and above than four antenatal visits (OR = 0.54; 95% CI, 0.37-0.79).ConclusionsStrategies to prevent spousal violence should be at the core of maternal health programs because health sector provides a platform to challenge social norms and promote attitudes that disapprove spousal violence which are essential for promoting gender equality, women empowerment (SDG 3) and improve maternal health (SDG 5).

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

Publications

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

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