Taheri Shirin, González Mikel Alexander, Ruiz-López María José, Soriguer Ramón, Figuerola Jordi
Departamento de Biología de la Conservación y Cambio Global, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain.
CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
One Health. 2025 Apr 16;20:101041. doi: 10.1016/j.onehlt.2025.101041. eCollection 2025 Jun.
Its geographic range expansion and rising incidence make West Nile Virus (WNV) a major public health challenge in Europe. Although numerous studies have investigated geographic variation in WNV incidence in humans or equines, most have focused on climate and land-use factors; however, the implications of vector co-occurrence and niche overlap remain largely unexplored. Identifying areas where highly competent vectors overlap with favourable environmental conditions is crucial for determining areas at risk for future WNV outbreaks. We analysed the distribution and habitat suitability of four mosquito vectors across Europe using an ensemble of six modelling techniques and relevant environmental variables. We generated probability maps, converted them into binary distribution maps through threshold-based methods, and weighted them by WNV vector competence to identify hotspots of vector co-occurrence and human cases. Our findings indicate that WNV vectors are unevenly distributed across Europe, with southern regions emerging as hotspots, particularly due to the presence of highly competent vectors such as s.l, and . The overlap of , , and in central, western, and eastern Europe indicates that competent WNV vectors are present in nearly all European regions. Among the environmental factors analysed, mean winter temperatures were the most influential, suggesting that mild winters could increase the distribution of WNV competent vectors. Our results also revealed a strong spatial overlap between hotspots of human WNV cases and vector co-occurrence, highlighting regions of elevated transmission risk. The high-risk hotspots identified in this large-scale study can guide local surveillance efforts and optimize resource allocation, ultimately enhancing the effectiveness of WNV surveillance.
西尼罗河病毒(WNV)在地理范围上的扩张以及发病率的上升,使其成为欧洲主要的公共卫生挑战。尽管众多研究调查了人类或马类中WNV发病率的地理差异,但大多数研究都集中在气候和土地利用因素上;然而,病媒共生和生态位重叠的影响在很大程度上仍未得到探索。确定高效病媒与有利环境条件重叠的区域,对于确定未来WNV爆发的风险区域至关重要。我们使用六种建模技术和相关环境变量的集合,分析了欧洲四种蚊虫病媒的分布和栖息地适宜性。我们生成了概率图,通过基于阈值的方法将其转换为二元分布图,并根据WNV病媒能力对其进行加权,以识别病媒共生和人类病例的热点区域。我们的研究结果表明,WNV病媒在欧洲分布不均,南部地区成为热点,特别是由于存在高效病媒,如 s.l和 。 、 和 在中欧、西欧和东欧的重叠表明,几乎所有欧洲地区都存在有能力传播WNV的病媒。在所分析的环境因素中,冬季平均温度影响最大,这表明暖冬可能会增加有能力传播WNV的病媒的分布范围。我们的结果还揭示了人类WNV病例热点区域与病媒共生之间存在很强的空间重叠,突出了传播风险升高的区域。在这项大规模研究中确定的高风险热点区域可以指导当地的监测工作并优化资源分配,最终提高WNV监测的有效性。