College of Veterinary Medicine and Agriculture, Addis Ababa University, P. O. Box 34, Bishoftu, Ethiopia.
Faculty of Agriculture and Veterinary Science, Ambo University, P.O. Box 19, Ambo, Ethiopia.
Sci Rep. 2022 Jul 28;12(1):12904. doi: 10.1038/s41598-022-16911-y.
Culicoides biting midges (Diptera: Ceratopogonidae) are the major vectors of bluetongue, Schmallenberg, and African horse sickness viruses. This study was conducted to survey Culicoides species in different parts of Ethiopia and to develop habitat suitability for the major Culicoides species in Ethiopia. Culicoides traps were set in different parts of the country from December 2018 to April 2021 using UV light Onderstepoort traps and the collected Culicoides were sorted to species level. To develop the species distribution model for the two predominant Culicoides species, namely Culicoides imicola and C. kingi, an ensemble modeling technique was used with the Biomod2 package of R software. KAPPA True skill statistics (TSS) and ROC curve were used to evaluate the accuracy of species distribution models. In the ensemble modeling, models which score TSS values greater than 0.8 were considered. Negative binomialregression models were used to evaluate the relationship between C. imicola and C. kingi catch and various environmental and climatic factors. During the study period, a total of 9148 Culicoides were collected from 66 trapping sites. Of the total 9148, 8576 of them belongs to seven species and the remaining 572 Culicoides were unidentified. The predominant species was C. imicola (52.8%), followed by C. kingi (23.6%). The abundance of these two species was highly influenced by the agro-ecological zone of the capture sites and the proximity of the capture sites to livestock farms. Climatic variables such as mean annual minimum and maximum temperature and mean annual rainfall were found to influence the catch of C. imicola at the different study sites. The ensemble model performed very well for both species with KAPPA (0.9), TSS (0.98), and ROC (0.999) for C. imicola and KAPPA (0.889), TSS (0.999), and ROC (0.999) for C. kingi. Culicoides imicola has a larger suitability range compared to C. kingi. The Great Rift Valley in Ethiopia, the southern and eastern parts of the country, and the areas along the Blue Nile and Lake Tana basins in northern Ethiopia were particularly suitable for C. imicola. High suitability for C. kingi was found in central Ethiopia and the Southern Nations, Nationalities and Peoples Region (SNNPR). The habitat suitability model developed here could help researchers better understand where the above vector-borne diseases are likely to occur and target surveillance to high-risk areas.
致蠓(双翅目:蠓科)是蓝舌病、沙姆沙伊赫病和非洲马瘟病毒的主要传播媒介。本研究旨在调查埃塞俄比亚不同地区的蠓种类,并为埃塞俄比亚主要的蠓种类开发生境适宜性。从 2018 年 12 月至 2021 年 4 月,使用紫外线 Onderstepoort 诱捕器在该国不同地区设置了蠓诱捕器,并将收集到的蠓分类到种水平。为了为两种主要的蠓种,即伊氏库蠓和金氏库蠓,开发物种分布模型,使用了 R 软件的 Biomod2 包中的集成建模技术。KAPPA 真实技能统计(TSS)和 ROC 曲线用于评估物种分布模型的准确性。在集成建模中,评分 TSS 值大于 0.8 的模型被认为是有效的。负二项回归模型用于评估 C. imicola 和 C. kingi 捕获量与各种环境和气候因素之间的关系。在研究期间,从 66 个诱捕点共收集到 9148 只蠓。在总共 9148 只中,其中 8576 只属于七个种,其余 572 只无法识别。优势种是伊氏库蠓(52.8%),其次是金氏库蠓(23.6%)。这两种物种的丰度受捕获地点的农业生态区和与牲畜养殖场的距离的强烈影响。在不同的研究地点,发现气候变量,如年平均最低和最高温度以及年平均降雨量,会影响 C. imicola 的捕获量。该模型对两种物种的表现都非常好,对于 C. imicola 的 KAPPA(0.9)、TSS(0.98)和 ROC(0.999),对于 C. kingi 的 KAPPA(0.889)、TSS(0.999)和 ROC(0.999)。与 C. kingi 相比,C. imicola 的适宜范围更大。埃塞俄比亚的大裂谷、该国的南部和东部地区以及北部埃塞俄比亚的青尼罗河和塔纳湖盆地地区特别适合 C. imicola。C. kingi 的高适宜性发现于埃塞俄比亚中部和南部各州、民族和人民地区(SNNPR)。这里开发的生境适宜性模型可以帮助研究人员更好地了解上述虫媒病可能发生的地方,并将监测目标对准高风险地区。