Evidence map›Paper›PMID 25416792›Full record

ArticleJournal of epidemiology and community health2015

Causal analysis of H1N1pdm09 influenza infection risk in a household cohort.

Yohann Mansiaux, Nicolas Salez, Nathanael Lapidus, Michel Setbon, Laurent Andreoletti, Marianne Leruez-Ville, Simon Cauchemez, Marie-Lise Gougeon, Frédéric Vély, Michael Schwarzinger and 5 more

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  6. Immunity to influenza. Preventing infection and regulating disease.American journal of respiratory and critical care medicine · 2015
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yohann MansiauxINSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Universités, Paris, France.
Nicolas SalezIRD French Institute of Research for Development, EHESP French School of Public Health, UMR_D 190 "Emergence des Pathologies Virales", Aix Marseille Univ, Marseille, France.
Nathanael LapidusINSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Universités, Paris, France Public Health Unit, Saint-Antoine Hospital, Paris, France.
Michel SetbonIRD French Institute of Research for Development, EHESP French School of Public Health, EPV UMR_D 190 "Emergence des Pathologies Virales", CNRS-Aix Marseille Université, Marseille, France.
Laurent AndreolettiLaboratoire de Virologie médicale et moléculaire Hôpital Robert Debré, CHU Reims, Reims, France Faculté de Médecine, EA 4684, Reims, France.
Marianne Leruez-VilleLaboratory of Virology, Hospital Necker-.Enfants-malades, Assistance Publique-Hôpitaux de Paris APHP-University Paris Descartes, Sorbonne Paris Cité, Paris, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.
Marie-Lise GougeonAntiviral Immunity, Biotherapy and Vaccine Unit, Institut Pasteur, Paris, France.
Frédéric VélyCentre d'Immunologie de Marseille-Luminy, INSERM, U1104, Marseille, France CNRS, UMR7280, Marseille, France Aix Marseille Université, UM2, Marseille, France Service d'Immunologie, Assistance Publique-Hôpitaux de Marseille, Hôpital de la Conception, Marseille, France.
Michael SchwarzingerIAME, UMR 1137, INSERM, Paris, France IAME, UMR 1137, Sorbonne Paris Cité, Univ Paris Diderot, Paris, France Translational Health Economics Network, Paris, France.
Laurent AbelLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale U1163, Paris, France Imagine Institute, Paris Descartes University, Sorbonne Paris Cité, Paris, France.
Rosemary Markovic DelabreINSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Universités, Paris, France.
Antoine FlahaultCentre Virchow-Villermé, Descartes, Université Sorbonne Paris Cité, Paris, France Global Health Institute, University of Geneva, Geneva, Switzerland.
Xavier de LamballerieIRD French Institute of Research for Development, EHESP French School of Public Health, UMR_D 190 "Emergence des Pathologies Virales", Aix Marseille Univ, Marseille, France.
Fabrice CarratINSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Universités, Paris, France Public Health Unit, Saint-Antoine Hospital, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObtaining 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.

methodsWe 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 (βstd) were used to assess the strength of associations (ranging from -1 for a completely negative association to 1 for a completely positive association).

resultsHost susceptibility to H1N1pdm09 and compliance with preventive behaviours were the only two factors directly associated with the infection risk (βstd=0.31 and βstd=-0.21). Compliance with preventive behaviours was influenced by risk perception and preventive measures perception (βstd=0.14 and βstd=0.27). The number and duration of social contacts were not associated with H1N1pdm09 infection.

conclusionsOur 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.

Indexed as

Disease SusceptibilityHealth BehaviorResidence CharacteristicsSocial EnvironmentAdolescentAdultCohort StudiesEnvironmentFamily CharacteristicsFemaleFranceHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaleMiddle AgedBIOSTATISTICSEPIDEMIOLOGYINFLUENZA

Identifiers

PMID25416792
PMCPMC4345517

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.