Evidence map›Paper›PMID 42246068›Full record

SynthesisEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2026

Modelling the risk of West Nile virus infection in seven European countries from published serological and case notification data, 2008 to 2022.

Hailin Feng, Giovanni Marini, Éva Barabás, Michalis Koureas, Varvara A Mouchtouri, Ilaria Dorigatti

Abstract readSystematic Review
In one paragraph

Synthesis in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Hailin FengMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, United Kingdom.
Giovanni MariniResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Éva BarabásHungarian National Blood Transfusion Service, Budapest, Hungary.
Michalis KoureasLaboratory of Hygiene and Epidemiology, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Varvara A MouchtouriLaboratory of Hygiene and Epidemiology, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Ilaria DorigattiMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDWest Nile virus (WNV) is a zoonotic mosquito-borne pathogen increasingly reported in Europe.AIMWe aimed to characterise heterogeneities in the average annual human risk of WNV infection (force of infection, FOI) and in WNV surveillance across Europe.METHODSWe conducted a systematic review following the PRISMA guidelines to identify serological studies on WNV in humans with IgG-based assays in Europe. We then used mathematical models fitted to both age-stratified serosurvey and case data to reconstruct spatially explicit FOI estimates, the sensitivity of syndromic surveillance and age-dependent trends in case reporting.RESULTSWe extracted 92 serosurvey datasets from 21 countries. Based on 10 age-stratified serosurvey datasets from Greece, Hungary, Italy, Romania and Spain and case data from seven countries (Austria, Cyprus, Greece, Hungary, Italy, Romania and Spain), we estimated the WNV FOI for 119 European nomenclature of territorial units for statistics level (NUTS) 0-3 regions. We found evidence of spatial heterogeneities in transmission intensity and estimated that on average less than 0.2% of human WNV infections were notified, with country variability and age-dependent trends in the propensity of reporting WNV disease.CONCLUSIONThis study shows that the intensity of WNV transmission, the average annual incidence of infection and the sensitivity of surveillance are heterogeneous across Europe. Due to differences in case reporting across countries, the incidence of reported WNV cases does not necessarily reflect the same proportion of WNV infections and hence the actual infection incidence, which highlights the importance of conducting WNV seroprevalence surveys.

Indexed as

Antibodies, ViralWest Nile FeverWest Nile virusAnimalsDisease NotificationEuropeHumansImmunoglobulin GIncidenceModels, TheoreticalMosquito-Borne DiseasesPopulation SurveillanceSeroepidemiologic StudiesAntibodies, ViralImmunoglobulin GEuropeforce of infectionhumanmodellingsystematic reviewWest Nile virus

Identifiers

PMID42246068
PMCPMC13330735

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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.