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基于生态位模型预测委内瑞拉马脑炎病毒在哥斯达黎加的潜在存在。

An Environmental Niche Model to Estimate the Potential Presence of Venezuelan Equine Encephalitis Virus in Costa Rica.

机构信息

Biosecurity Laboratory, Veterinary Service National Laboratory, Animal Health National Service, Ministry of Agriculture and Cattle, Heredia 40104, Costa Rica.

Laboratory of Virology, Tropical Diseases Research Program (PIET), School of Veterinary Medicine, National University, Heredia 40101, Costa Rica.

出版信息

Int J Environ Res Public Health. 2020 Dec 30;18(1):227. doi: 10.3390/ijerph18010227.

Abstract

Venezuelan equine encephalitis virus (VEEV) is an arbovirus transmitted by arthropods, widely distributed in the Americas that, depending on the subtype, can produce outbreaks or yearly cases of encephalitis in horses and humans. The symptoms are similar to those caused by dengue virus and in the worst-case scenario, involve encephalitis, and death. MaxEnt is software that uses climatological, geographical, and occurrence data of a particular species to create a model to estimate possible niches that could have these favorable conditions. We used MaxEnt with a total of 188 registers of VEEV presence, and 20 variables, (19 bioclimatological plus altitude) to determine the niches promising for the presence of VEEV. The area under the ROC curve (AUC) value for the model with all variables was 0.80 for the training data and 0.72 for the test. The variables with the highest contribution to the model were Bio11 (mean temperature of the coldest quarter) 32.5%, Bio17 (precipitation of the driest quarter) 16.9%, Bio2 (annual mean temperature) 15.1%, altitude (m.a.s.l) 6.6%, and Bio18 (precipitation of the warmest quarter) 6.2%. The product of this research will be useful under the one health scheme to animal and human health authorities to forecast areas with high propensity for VEEV cases in the future.

摘要

委内瑞拉马脑炎病毒(VEEV)是一种虫媒病毒,广泛分布于美洲,根据亚型的不同,可在马和人类中引发暴发或每年发生脑炎。其症状与登革热病毒相似,在最坏的情况下,会导致脑炎和死亡。MaxEnt 是一种软件,它使用特定物种的气候、地理和出现数据来创建模型,以估计可能存在这些有利条件的小生境。我们使用 MaxEnt 对 188 个 VEEV 存在的记录和 20 个变量(19 个生物气候变量加海拔)进行了分析,以确定 VEEV 存在的有希望的小生境。具有所有变量的模型的 ROC 曲线下面积(AUC)值在训练数据中为 0.80,在测试数据中为 0.72。对模型贡献最大的变量是 Bio11(最寒冷季度的平均温度)32.5%、Bio17(最干旱季度的降水量)16.9%、Bio2(年平均温度)15.1%、海拔(m.a.s.l)6.6%和 Bio18(最温暖季度的降水量)6.2%。这项研究的成果将在“One Health”计划下,对动物和人类卫生当局有用,以预测未来 VEEV 病例高发地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ed7/7795298/34faf1a4c594/ijerph-18-00227-g001.jpg

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