Farooq Zia, Sjödin Henrik, Semenza Jan C, Tozan Yesim, Sewe Maquines Odhiambo, Wallin Jonas, Rocklöv Joacim
Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Heidelberg institute of global health and Interdisciplinary center for scientific computing, University of Heidelberg, Im Neuenheimer Feld 205, Heidelberg 69120, Germany.
One Health. 2023 Feb 16;16:100509. doi: 10.1016/j.onehlt.2023.100509. eCollection 2023 Jun.
West Nile virus (WNV), a mosquito-borne zoonosis, has emerged as a disease of public health concern in Europe. Recent outbreaks have been attributed to suitable climatic conditions for its vectors favoring transmission. However, to date, projections of the risk for WNV expansion under climate change scenarios is lacking. Here, we estimate the WNV-outbreaks risk for a set of climate change and socioeconomic scenarios. We delineate the potential risk-areas and estimate the growth in the population at risk (PAR). We used supervised machine learning classifier, XGBoost, to estimate the WNV-outbreak risk using an ensemble climate model and multi-scenario approach. The model was trained by collating climatic, socioeconomic, and reported WNV-infections data (2010-22) and the out-of-sample results (1950-2009, 2023-99) were validated using a novel Confidence-Based Performance Estimation (CBPE) method. Projections of area specific outbreak risk trends, and corresponding population at risk were estimated and compared across scenarios. Our results show up to 5-fold increase in West Nile virus (WNV) risk for 2040-60 in Europe, depending on geographical region and climate scenario, compared to 2000-20. The proportion of disease-reported European land areas could increase from 15% to 23-30%, putting 161 to 244 million people at risk. Across scenarios, Western Europe appears to be facing the largest increase in the outbreak risk of WNV. The increase in the risk is not linear but undergoes periods of sharp changes governed by climatic thresholds associated with ideal conditions for WNV vectors. The increased risk will require a targeted public health response to manage the expansion of WNV with climate change in Europe.
西尼罗河病毒(WNV)是一种由蚊子传播的人畜共患病,已成为欧洲公共卫生关注的疾病。最近的疫情爆发归因于其病媒适宜的气候条件有利于传播。然而,迄今为止,缺乏在气候变化情景下西尼罗河病毒传播风险的预测。在此,我们估计了一系列气候变化和社会经济情景下西尼罗河病毒疫情爆发的风险。我们划定了潜在风险区域,并估计了高危人群(PAR)的增长情况。我们使用监督式机器学习分类器XGBoost,通过综合气候模型和多情景方法来估计西尼罗河病毒疫情爆发的风险。该模型通过整理气候、社会经济和报告的西尼罗河病毒感染数据(2010 - 2022年)进行训练,并使用一种新颖的基于置信度的性能估计(CBPE)方法对样本外结果(1950 - 2009年,2023 - 2099年)进行验证。我们估计并比较了各情景下特定区域疫情爆发风险趋势以及相应的高危人群。我们的结果表明,与2000 - 2020年相比,欧洲在2040 - 2060年期间西尼罗河病毒(WNV)风险增加了5倍,具体取决于地理区域和气候情景。报告有该疾病的欧洲陆地面积比例可能从15%增加到23% - 30%,使1.61亿至2.44亿人面临风险。在所有情景中,西欧似乎面临着西尼罗河病毒疫情爆发风险的最大增幅。风险的增加不是线性的,而是经历由与西尼罗河病毒病媒理想条件相关的气候阈值所控制的急剧变化时期。风险的增加将需要有针对性的公共卫生应对措施,以应对欧洲气候变化背景下西尼罗河病毒的传播。