Richard Mj Hassall, Maya Holding, Jolyon M Medlock, Festus A Asaaga, Sophie O Vanwambeke, Roger Hewson, Bethan V Purse
{"title":"Identifying hotspots and risk factors for tick-borne encephalitis virus emergence at its range margins to guide interventions, Great Britain.","authors":"Richard Mj Hassall, Maya Holding, Jolyon M Medlock, Festus A Asaaga, Sophie O Vanwambeke, Roger Hewson, Bethan V Purse","doi":"10.2807/1560-7917.ES.2025.30.13.2400441","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundTick-borne encephalitis virus (TBEV) is expanding its range in Europe, with increasing human cases reported. Since the first detection of TBEV in ticks in the United Kingdom in 2019, one possible, two probable and two confirmed autochthonous cases in humans have been reported.AimWe aimed to understand the environmental and ecological factors limiting TBEV foci at their range edge and predict suitable areas for TBEV establishment across Great Britain (GB) by modelling patterns of exposure to TBEV in deer.MethodsWe developed spatial risk models for TBEV by integrating data between 2018 and 2021 on antibodies against tick-borne flavivirus in fallow, muntjac, red and roe deer with data on potential risk factors, including climate, land use, forest connectivity and distributions of bank voles and yellow-necked mice. We overlayed modelled suitability for TBEV exposure across GB with estimations on number of visitors to predict areas of high human exposure risk.ResultsModels for fallow, muntjac and roe deer performed well in independent validation (Boyce index > 0.92). Probable exposure to TBEV was more likely to occur in sites with a greater percentage cover of coniferous woodland, with multiple deer species, higher winter temperatures and rates of spring warming.ConclusionThe resulting TBEV suitability maps can be used by public health bodies in GB to tailor surveillance and identify probable high-risk areas for human exposure to guide awareness raising and vaccination policy. Combining animal surveillance and iterative spatial risk modelling can enhance preparedness in areas of tick-borne disease emergence.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 13","pages":""},"PeriodicalIF":9.9000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11969960/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurosurveillance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2807/1560-7917.ES.2025.30.13.2400441","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
BackgroundTick-borne encephalitis virus (TBEV) is expanding its range in Europe, with increasing human cases reported. Since the first detection of TBEV in ticks in the United Kingdom in 2019, one possible, two probable and two confirmed autochthonous cases in humans have been reported.AimWe aimed to understand the environmental and ecological factors limiting TBEV foci at their range edge and predict suitable areas for TBEV establishment across Great Britain (GB) by modelling patterns of exposure to TBEV in deer.MethodsWe developed spatial risk models for TBEV by integrating data between 2018 and 2021 on antibodies against tick-borne flavivirus in fallow, muntjac, red and roe deer with data on potential risk factors, including climate, land use, forest connectivity and distributions of bank voles and yellow-necked mice. We overlayed modelled suitability for TBEV exposure across GB with estimations on number of visitors to predict areas of high human exposure risk.ResultsModels for fallow, muntjac and roe deer performed well in independent validation (Boyce index > 0.92). Probable exposure to TBEV was more likely to occur in sites with a greater percentage cover of coniferous woodland, with multiple deer species, higher winter temperatures and rates of spring warming.ConclusionThe resulting TBEV suitability maps can be used by public health bodies in GB to tailor surveillance and identify probable high-risk areas for human exposure to guide awareness raising and vaccination policy. Combining animal surveillance and iterative spatial risk modelling can enhance preparedness in areas of tick-borne disease emergence.
背景蜱传脑炎病毒(TBEV)在欧洲的传播范围不断扩大,报告的人类病例也越来越多。AimWe aimed to understand the environmental and ecological factors limiting TBEV fociates at their range edge and predict suitable areas for TBEV establishment across Great Britain (GB) by modelling patterns of exposure to TBEV in deer.方法我们通过整合 2018 年至 2021 年期间关于秋鹿、麂鹿、红鹿和狍子的蜱传黄病毒抗体数据以及潜在风险因素的数据,包括气候、土地利用、森林连通性以及滩田鼠和黄颈鼠的分布情况,建立了 TBEV 的空间风险模型。我们将整个 GB 的 TBEV 暴露适宜性模型与游客数量估计值进行了叠加,以预测人类暴露风险较高的地区。在针叶林覆盖率较高、有多种鹿类、冬季气温较高和春季升温率较高的地区,更有可能发生 TBEV 暴露。将动物监测与迭代空间风险建模相结合,可以提高蜱传疾病爆发地区的防疫能力。
期刊介绍:
Eurosurveillance is a European peer-reviewed journal focusing on the epidemiology, surveillance, prevention, and control of communicable diseases relevant to Europe.It is a weekly online journal, with 50 issues per year published on Thursdays. The journal includes short rapid communications, in-depth research articles, surveillance reports, reviews, and perspective papers. It excels in timely publication of authoritative papers on ongoing outbreaks or other public health events. Under special circumstances when current events need to be urgently communicated to readers for rapid public health action, e-alerts can be released outside of the regular publishing schedule. Additionally, topical compilations and special issues may be provided in PDF format.