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BMC public health · 2026

Climate-based forecasting from national Culex mosquito surveillance to support West Nile and Usutu virus preparedness in England and Wales.

СтатьяНазвание и аннотация: Перевод в очереди
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de Klerk Joanna Nevison, Haziqah-Rashid Amirah, Widlake Emma, Wilson Roksana, Pilgrim Jack, Vaux Alexander G C, Tanianis-Hughes Jolanta, Delnicka Agata, Jealous Amy S, Abbott Anthony J, Haines Catie, Johnston Colin J, Miller Finn, Sherlock Ken, Bursali Fatma, Gandy Sara, Biddlecombe Sarah M, Medlock Jolyon M, Blagrove Marcus S C, Baylis Matthew, Sedda Luigi

Аннотация

Culex mosquitoes are widespread in temperate regions and play a key role in transmitting veterinary and human vector-borne diseases. In the United Kingdom, Culex pipiens s.l. is highly prevalent and a competent vector of West Nile and Usutu viruses. Coupled with the northward expansion of West Nile virus in Europe, this raises concerns about emergence in the UK. For public and animal health preparedness, and effective vector control planning, it is essential to better understand the distribution of Culex mosquitoes in this area.This study developed species distribution maps for Culex pipiens pipiens, Culex pipiens molestus, and Culex torrentium abundance using data from the first nationwide stratified active mosquito surveillance programme in England and Wales in 2023, supplemented with adaptive surveillance in 2024. Culex p. pipiens models predicted higher abundances than the other two taxa. Regions of high abundance occurred across most of England, apart from the northwest, with the highest in eastern regions and estuarine areas. In contrast, higher elevation areas, including most of Wales, the North Pennines, and Yorkshire Dales, showed markedly lower abundances. Environmental drivers differed between forms. Culex p. pipiens abundance was strongly associated with precipitation-related covariates, whereas Culex p. molestus was mostly influenced by temperature covariates. These findings highlight the importance of modelling the two forms separately in risk analyses and distribution studies.The resulting models provide timely ecological insights to support surveillance prioritisation and provide a foundation for future work aimed at guiding public health planning and targeted vector management.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты