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整合系统调查与历史数据以模拟北美一种流行病学关注媒介的分布情况。

Integrating Systematic Surveys With Historical Data to Model the Distribution of , a Vector of Epidemiological Concern in North America.

作者信息

Botero-Cañola Sebastian, Torhorst Carson, Canino Nicholas, Beati Lorenza, O'Hara Kathleen C, James Angela M, Wisely Samantha M

机构信息

Department of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA.

US National Tick Collection, Institute for Coastal Plain Science Georgia Southern University Statesboro Georgia USA.

出版信息

Ecol Evol. 2024 Nov 11;14(11):e70547. doi: 10.1002/ece3.70547. eCollection 2024 Nov.

Abstract

Globally, vector-borne diseases are increasing in distribution and frequency, affecting humans, domestic animals, and wildlife. Science-based management and prevention of these diseases requires a sound understanding of the distribution and environmental requirements of the vectors and hosts involved in disease transmission. Integrated Species Distribution Models (ISDM) account for diverse data types through hierarchical modeling and represent a significant advancement in species distribution modeling. We assessed the distribution of the soft tick subspecies . This tick species is a potential vector of African swine fever virus (ASFV), a pathogen responsible for an ongoing global epizootic that threatens agroindustry worldwide. Given the novelty of this method, we compared the results to a conventional Maxent SDM and validated the results through data partitioning. Our input for the model consisted of systematically collected detection data from 591 sampled field sites and 12 historical species records, as well as four variables describing climatic and soil characteristics. We found that a combination of climatic variables describing seasonality and temperature extremes, along with the amount of sand in the soil, determined the predicted intensity of occurrence of this tick species. When projected in geographic space, this distribution model predicted 62% of Florida as suitable habitat for this tick species. The ISDM presented a higher TSS and AUC than the Maxent conventional model, while sensitivity was similar between both models. Our case example shows the utility of ISDMs in disease ecology studies and highlights the broad range of geographic suitability for this important disease vector. These results provide important foundational information to inform future risk assessment work for tick-borne relapsing fever surveillance and potential ASF introduction and maintenance in the United States.

摘要

在全球范围内,媒介传播疾病的分布范围和发生频率正在增加,影响着人类、家畜和野生动物。基于科学的这些疾病管理和预防需要深入了解疾病传播所涉及的媒介和宿主的分布及环境要求。综合物种分布模型(ISDM)通过分层建模考虑了多种数据类型,代表了物种分布建模的重大进展。我们评估了软蜱亚种的分布。这种蜱虫是非洲猪瘟病毒(ASFV)的潜在传播媒介,该病原体引发了一场持续的全球动物流行病,威胁着全球农业产业。鉴于这种方法的新颖性,我们将结果与传统的最大熵物种分布模型(Maxent SDM)进行了比较,并通过数据划分对结果进行了验证。我们模型的输入包括从591个采样实地地点系统收集的检测数据、12条历史物种记录,以及描述气候和土壤特征的四个变量。我们发现,描述季节性和极端温度的气候变量组合,以及土壤中的沙子含量,决定了这种蜱虫预测的出现强度。当在地理空间中进行预测时,这种分布模型预测佛罗里达州62%的地区是这种蜱虫的适宜栖息地。ISDM的真技能统计量(TSS)和受试者工作特征曲线下面积(AUC)高于传统的Maxent模型,而两种模型的敏感性相似。我们的案例表明了ISDM在疾病生态学研究中的实用性,并突出了这种重要疾病媒介广泛的地理适宜性。这些结果提供了重要的基础信息,为美国未来蜱传回归热监测以及非洲猪瘟潜在引入和维持的风险评估工作提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d0f/11554405/dc94e95e798a/ECE3-14-e70547-g003.jpg

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