Epidemiological and Evolutionary Analysis of West Nile Virus Lineage 2 in Italy

Author:

Mencattelli GiuliaORCID,Silverj AndreaORCID,Iapaolo Federica,Ippoliti CarlaORCID,Teodori Liana,Gennaro Annapia,Curini ValentinaORCID,Candeloro LucaORCID,Conte AnnamariaORCID,Polci Andrea,Morelli Daniela,Perrotta Maria,Marini GiovanniORCID,Rosà RobertoORCID,Monaco FedericaORCID,Segata NicolaORCID,Rizzoli AnnapaolaORCID,Rota-Stabelli OmarORCID,Savini Giovanni,West Nile working group

Abstract

West Nile virus (WNV) is a mosquito-borne virus potentially causing serious illness in humans and other animals. Since 2004, several studies have highlighted the progressive spread of WNV Lineage 2 (L2) in Europe, with Italy being one of the countries with the highest number of cases of West Nile disease reported. In this paper, we give an overview of the epidemiological and genetic features characterising the spread and evolution of WNV L2 in Italy, leveraging data obtained from national surveillance activities between 2011 and 2021, including 46 newly assembled genomes that were analysed under both phylogeographic and phylodynamic frameworks. In addition, to better understand the seasonal patterns of the virus, we used a machine learning model predicting areas at high-risk of WNV spread. Our results show a progressive increase in WNV L2 in Italy, clarifying the dynamics of interregional circulation, with no significant introductions from other countries in recent years. Moreover, the predicting model identified the presence of suitable conditions for the 2022 earlier and wider spread of WNV in Italy, underlining the importance of using quantitative models for early warning detection of WNV outbreaks. Taken together, these findings can be used as a reference to develop new strategies to mitigate the impact of the pathogen on human and other animal health in endemic areas and new regions.

Funder

Italian Ministry of Health

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Early Detection of West Nile Virus Using High Dense Time Series Analysis Framework;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. Spatial and temporal dynamics of West Nile virus between Africa and Europe;Nature Communications;2023-10-13

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