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Individual and contextual risk factors for chikungunya virus infection: theSEROCHIK cross-sectional population-based study

机译:基孔肯雅病毒感染的个人和背景危险因素:SEROCHIK横断面人口研究

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摘要

The purpose of the study was to weigh the community burden of chikungunya determinants on Reunion island. Risk factors were investigated within a subset of 2101 adult persons from a population-based cross-sectional serosurvey, using Poisson regression models for dichotomous outcomes. Design-based risk ratios and population attributable fractions (PAF) were generated distinguishing individual and contextual (i.e. that affect individuals collectively) determinants. The disease burden attributable to contextual determinants was twice that of individual determinants (overall PAF value 89.5% vs. 44.1%). In a model regrouping both categories of determinants, the independent risk factors were by decreasing PAF values: an interaction term between the reporting of a chikungunya history in the neighbourhood and individual house (PAF 45.9%), a maximal temperature of the month preceding the infection higher than 28.5 °C (PAF 25.7%), a socio-economically disadvantaged neighbourhood (PAF 19.0%), altitude of dwelling (PAF 13.1%), cumulated rainfalls of the month preceding the infection higher than 65 mm (PAF 12.6%), occupational inactivity (PAF 11.6%), poor knowledge on chikungunya transmission (PAF 7.3%) and obesity/overweight (PAF 5.2%). Taken together, these covariates and their underlying causative factors uncovered 80.8% of chikungunya at population level. Our findings lend support to a major role of contextual risk factors in chikungunya virusoutbreaks.
机译:这项研究的目的是权衡留尼汪岛基孔肯雅热决定因素的社区负担。使用基于Poisson回归模型的二分法结果,对基于人群的横断面血清调查的2101名成年人的亚组中的危险因素进行了调查。生成了基于设计的风险比和人口归因分数(PAF),以区分个人和背景(即,共同影响个人的)决定因素。归因于上下文决定因素的疾病负担是单个决定因素的两倍(总体PAF值89.5%对44.1%)。在将两类决定因素重新组合的模型中,独立的风险因素是通过降低PAF值来实现的:在社区和单个房屋中报告基孔肯雅病史(PAF 45.9%)之间的相互作用项,即感染前一个月的最高温度高于28.5°C(PAF 25.7%),社会经济处于劣势的社区(PAF 19.0%),居住高度(PAF 13.1%),感染前一个月的累积降雨高于65 mm(PAF 12.6%),无职业(PAF 11.6%),对基孔肯雅热传播的知识不佳(PAF 7.3%)和肥胖/超重(PAF 5.2%)。综合起来,这些协变量及其潜在的致病因素在人口水平上发现了基孔肯雅热的80.8%。我们的发现支持上下文风险因素在基孔肯雅病毒中的重要作用爆发。

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