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

被引:4
作者
Mencattelli, Giulia [1 ,2 ,3 ]
Silverj, Andrea [2 ,3 ,4 ]
Iapaolo, Federica [1 ]
Ippoliti, Carla [1 ]
Teodori, Liana [1 ]
Di Gennaro, Annapia [1 ]
Curini, Valentina [1 ]
Candeloro, Luca [1 ]
Conte, Annamaria [1 ]
Polci, Andrea [1 ]
Morelli, Daniela [1 ]
Perrotta, Maria Gabriella [5 ]
Marini, Giovanni [3 ]
Rosa, Roberto [2 ,3 ]
Monaco, Federica [1 ]
Segata, Nicola [4 ]
Rizzoli, Annapaola [3 ]
Rota-Stabelli, Omar [2 ,3 ]
Savini, Giovanni [1 ]
机构
[1] Ist Zooprofilatt Sperimentale Abruzzo & Molise, I-64100 Teramo, Italy
[2] Univ Trento, Ctr Agr Food Environm, I-38010 San Michele All Adige, Italy
[3] Fdn Edmund Mach, Res & Innovat Ctr, I-38010 San Michele All Adige, Italy
[4] Univ Trento, Dept CIBIO, I-38123 Trento, Italy
[5] Ctr Nazl Lotta Emergenza Contro Malattie Anim, I-00161 Rome, Italy
来源
VIRUSES-BASEL | 2023年 / 15卷 / 01期
关键词
West Nile virus lineage 2; epidemiology; evolution; early-warning; Italy; CIRCULATION; INFECTION; EUROPE; HORSES; TOOL;
D O I
10.3390/v15010035
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
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页数:17
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