Ecological niche modeling of epidemiological significance ticks: an experimental study with the modleR workflow in Brazil.

IF 0.7 4区农林科学 Q4 VETERINARY SCIENCES

Veterinaria italiana Pub Date : 2025-07-30 DOI:10.12834/VetIt.3701.34484.2

Claudio Manuel Rodrigues, Ana Claudia Delciellos, Stefan Vilges de Oliveira, Daniel Savignon Marinho, Gilberto Salles Gazeta, Lena Geise

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引用次数: 0

Abstract

Spotted fever rickettsioses are tick-borne diseases of major epidemiological importance worldwide. Ticks can interact pathogenically with humans through endemic foci or sporadic epidemic outbreaks. Novel analytical tools and decision-making frameworks for tick-borne disease surveillance may improve resource allocation and enhance the response capacity of public health services. In this study, we characterize and model the bioclimatic suitability of three tick species-Amblyomma aureolatum, A. ovale, and A. sculptum-across Brazil. The climatic niche of each species was quantified using four modelling algorithms (BIOCLIM, GLM, Maxent, and SVM) implemented within an automated modelling workflow (modleR). A total of 585 occurrence records were retained for modelling: 55 for A. aureolatum, 120 for A. ovale, and 410 for A. sculptum, covering the entire Brazilian territory. Amblyomma sculptum exhibited a broader tolerance to temperature and precipitation variability, suggesting a wider potential distribution range compared to the other two species. This species was primarily associated with grassland habitats, such as those in the Cerrado biome. In contrast, A. aureolatum and A. ovale were more strongly associated with forested areas, particularly along the Atlantic Forest coastal region. The modelling outputs presented here provide valuable insights to support targeted health surveillance and intervention strategies for tick-borne diseases in Brazil.

查看原文本刊更多论文

流行病学意义蜱虫生态位建模：巴西modleR工作流的实验研究。

斑点热立克次体病是世界范围内具有重要流行病学意义的蜱传疾病。蜱虫可以通过地方性疫源地或零星流行病暴发与人类发生致病性相互作用。新的蜱传疾病监测分析工具和决策框架可改善资源分配和提高公共卫生服务的反应能力。在这项研究中，我们在巴西对三种蜱——毛色浅腹虫、卵圆a和雕刻a——的生物气候适应性进行了表征和建模。每个物种的气候生态位采用四种建模算法（BIOCLIM、GLM、Maxent和SVM）在自动化建模工作流（modeler）中实现量化。共有585条发生记录被保留用于建模：A. aureolatum 55条，A. ovale 120条，A. sculptum 410条，覆盖整个巴西领土。水螅对温度和降水变化的耐受性更强，与其他两个物种相比，水螅的潜在分布范围更广。该物种主要与草地生境有关，如塞拉多生物群系。相比之下，黄毛霉和卵圆霉与森林地区的相关性更强，特别是在大西洋森林沿海地区。这里提出的建模输出提供了宝贵的见解，以支持巴西针对蜱传疾病的有针对性的卫生监测和干预战略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Veterinaria italiana VETERINARY SCIENCES-

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The journal was created as the Croce Azzurra in 1950. A quarterly peer-reviewed journal devoted to veterinary public health and other aspects of veterinary science and medicine, Veterinaria Italiana is published by the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘G. Caporale’ (Istituto Zooprofilattico Sperimentale dell''Abruzzo e del Molise) in Teramo, Italy. The goal of the journal is to provide an international platform for veterinary public health information from Italy and other countries, particularly those in Eastern Europe and Africa, Asia and South America. Veterinarians and veterinary public health specialists are encouraged to share their knowledge and experience on this platform.