BibTex format
@article{Feng:2026:10.2807/1560-7917.es.2026.31.22.2500394,
author = {Feng, H and Marini, G and Barab谩s, 脡 and Koureas, M and Mouchtouri, VA and Dorigatti, I},
doi = {10.2807/1560-7917.es.2026.31.22.2500394},
journal = {Eurosurveillance},
title = {Modelling the risk of West Nile virus infection in seven European countries from published serological and case notification data, 2008 to 2022},
url = {http://dx.doi.org/10.2807/1560-7917.es.2026.31.22.2500394},
volume = {31},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - <jats:sec> <jats:title>BACKGROUND</jats:title> <jats:p>West Nile virus (WNV) is a zoonotic mosquito-borne pathogen increasingly reported in Europe.</jats:p> </jats:sec> <jats:sec> <jats:title>AIM</jats:title> <jats:p>We aimed to characterise heterogeneities in the average annual human risk of WNV infection (force of infection, FOI) and in WNV surveillance across Europe.</jats:p> </jats:sec> <jats:sec> <jats:title>METHODS</jats:title> <jats:p>We 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.</jats:p> </jats:sec> <jats:sec> <jats:title>RESULTS</jats:title> <jats:p>We 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.</jats:p> </jats:sec> <jats:sec> <jats:t
AU - Feng,H
AU - Marini,G
AU - Barab谩s,脡
AU - Koureas,M
AU - Mouchtouri,VA
AU - Dorigatti,I
DO - 10.2807/1560-7917.es.2026.31.22.2500394
PY - 2026///
TI - Modelling the risk of West Nile virus infection in seven European countries from published serological and case notification data, 2008 to 2022
T2 - Eurosurveillance
UR - http://dx.doi.org/10.2807/1560-7917.es.2026.31.22.2500394
UR - https://doi.org/10.2807/1560-7917.es.2026.31.22.2500394
VL - 31
ER -