INSERM CIC1410, CHU Réunion,Saint Pierre, Reunion,France.
UMR 1309 CMAEE 'Contrôle des maladies animales, exotiques et émergentes', CIRAD,Sainte Clotilde, Reunion,France.
Epidemiol Infect. 2018 Jun;146(8):1056-1064. doi: 10.1017/S0950268818000341. Epub 2018 May 3.
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 virus outbreaks.
本研究旨在衡量留尼汪岛基孔肯雅热决定因素给社区带来的负担。采用二项式结果的泊松回归模型,对基于人群的横断面血清学调查中的 2101 名成年人亚组进行了危险因素调查。设计型风险比和人群归因分数(PAF)是通过区分个体和(即影响个人的)集体决定因素来产生的。与个体决定因素相比,与集体决定因素相关的疾病负担高出一倍(总体 PAF 值为 89.5%,而个体决定因素为 44.1%)。在一个重新组合这两类决定因素的模型中,独立的危险因素按 PAF 值递减排列:在邻里报告基孔肯雅热病史和个体房屋之间的相互作用(PAF 为 45.9%)、感染前一个月的最高温度高于 28.5°C(PAF 为 25.7%)、社会经济地位不利的邻里(PAF 为 19.0%)、住所海拔(PAF 为 13.1%)、感染前一个月累积降雨量高于 65 毫米(PAF 为 12.6%)、职业不活跃(PAF 为 11.6%)、对基孔肯雅热传播知识差(PAF 为 7.3%)和肥胖/超重(PAF 为 5.2%)。综合来看,这些协变量及其潜在的因果因素在人群水平上揭示了 80.8%的基孔肯雅热病例。我们的研究结果支持了集体危险因素在基孔肯雅热病毒爆发中的重要作用。