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Causal analysis of H1N1pdm09 influenza infection risk in a household cohort

机译:家庭队列中H1N1pdm09流感感染风险的因果分析

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Background Obtaining a comprehensive quantitative figure of the determinants of influenza infection will help identify priority targets for future influenza mitigation interventions. We developed an original causal model integrating highly diverse factors and their dependencies, to identify the most critical determinants of pandemic influenza infection (H1N1pdm09) during the 2010-2011 influenza season. Methods We used data from 601 households (1450 participants) included in a dedicated cohort. Structural equations were used to model direct and indirect relationships between infection and risk perception, compliance with preventive behaviours, social contacts, indoor and outdoor environment, sociodemographic factors and pre-epidemic host susceptibility. Standardised estimates ((β_(std)) were used to assess the strength of associations (ranging from -1 for a completely negative association to 1 for a completely positive association). Results Host susceptibility to H1N1pdm09 and compliance with preventive behaviours were the only two factors directly associated with the infection risk (β_(std)=0.31 and β_(std)=-0.21). Compliance with preventive behaviours was influenced by risk perception and preventive measures perception (β_(std)=0.14 and β_(std)=0.27). The number and duration of social contacts were not associated with H1N1pdm09 infection. Conclusions Our findings suggest that influenza vaccination in addition to public health communication campaigns focusing on personal preventive measures should be prioritised as potentially efficient interventions to mitigate influenza epidemics.
机译:背景技术获得有关流感感染决定因素的全面定量数字将有助于确定未来减轻流感干预措施的优先目标。我们开发了一种原始因果模型,该模型整合了高度多样化的因素及其依赖性,以识别2010-2011年流感季节期间大流行性流感感染(H1N1pdm09)的最关键因素。方法我们使用了专门研究的601户家庭(1450名参与者)的数据。使用结构方程式来建模感染与风险感知,预防行为的依从性,社会交往,室内和室外环境,社会人口统计学因素和流行前宿主易感性之间的直接和间接关系。标准化的估计值((β_(std))用于评估关联的强度(范围从-1为完全否定关联,范围为1为完全正关联。)结果宿主对H1N1pdm09的敏感性和对预防行为的依从性是仅有的两个与感染风险直接相关的因素(β_(std)= 0.31和β_(std)=-0.21)。风险感知和预防措施感知(β_(std)= 0.14和β_(std)= 0.27)。社会接触的数量和持续时间与H1N1pdm09感染无关。结论我们的研究结果表明,除了注重个人预防措施的公共卫生宣传活动外,应优先接种流感疫苗,以作为可能有效的干预措施来减轻流感的流行。

著录项

  • 来源
    《Journal of Epidemiology & Community Health》 |2015年第3期|272-277|共6页
  • 作者单位

    INSERM, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France,UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Sorbonne Universites, Paris, France,Equipe 2, UMRS-1136, Faculte de Medecine Saint Antoine, 27 Rue Chaligny, 75571 Paris, Cedex 12, France;

    IRD French Institute of Research for Development, EHESP French School of Public Health, UMR_D 190 'Emergence des Pathologies Virales', Aix Marseille Univ, Marseille, France;

    INSERM, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France,UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Sorbonne Universites, Paris, France,Public Health Unit, Saint-Antoine Hospital, Paris, France;

    IRD French Institute of Research for Development, EHESP French School of Public Health, EPV UMR_D 190 'Emergence des Pathologies Virales', CNRS-Aix Marseille Universite, Marseille, France;

    Laboratoire de Virologie medicale et moleculaire Hopital Robert Debre, CHU Reims, Reims, France,Faculte de Medecine, EA 4684, Reims, France;

    Laboratory of Virology, Hospital Necker-.Enfants-malades, Assistance Publique-Hopitaux de Paris APHP-University Paris Descartes, Sorbonne Paris Cite, Paris, France;

    Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France;

    Antiviral Immunity, Biotherapy and Vaccine Unit, Institut Pasteur, Paris, France;

    Centre d'Immunologie de Marseille-Luminy, INSERM, U1104, Marseille, France,CNRS, UMR7280, Marseille, France,Aix Marseille Universite, UM2, Marseille, France,Service d'Immunologie, Assistance Publique-Hopitaux de Marseille, Hopital de la Conception, Marseille, France;

    IAME, UMR 1137, INSERM, Paris, France,IAME, UMR 1137, Sorbonne Paris Cite, Univ Paris Diderot, Paris, France,Translational Health Economics Network, Paris, France;

    Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Sante et de la Recherche Medicale U1163, Paris, France,Imagine Institute, Paris Descartes University, Sorbonne Paris Cite, Paris, France;

    INSERM, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France,UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Sorbonne Universites, Paris, France;

    Centre Virchow-Villerme, Descartes, Universite Sorbonne Paris Cite, Paris, France,Global Health Institute, University of Geneva, Geneva, Switzerland;

    IRD French Institute of Research for Development, EHESP French School of Public Health, UMR_D 190 'Emergence des Pathologies Virales', Aix Marseille Univ, Marseille, France;

    INSERM, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France,UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Sorbonne Universites, Paris, France,Public Health Unit, Saint-Antoine Hospital, Paris, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 01:07:53

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