College of Agriculture and Natural Resources-Department of Environmental Sciences and Technology, University of Maryland, College Park, MD 1433, USA.
United States Department of Agriculture-Agriculture Research Service, Invasive Insect Biocontrol and Behavior Laboratory, Beltsville, MD 20705, USA.
Viruses. 2019 Jul 23;11(7):671. doi: 10.3390/v11070671.
Hantaviruses (Family: Hantaviridae; genus: ) and their associated human diseases occur globally and differ according to their geographic distribution. The structure of small mammal assemblages and phylogenetic relatedness among host species are suggested as strong drivers for the maintenance and spread of hantavirus infections in small mammals. We developed predictive models for hantavirus infection prevalence in rodent assemblages using defined ecological correlates from our current knowledge of hantavirus-host distributions to provide predictive models at the global and continental scale. We utilized data from published research between 1971-2014 and determined the biological and ecological characteristics of small mammal assemblages to predict the prevalence of hantavirus infections. These models are useful in predicting hantavirus disease outbreaks based on environmental and biological information obtained through the surveillance of rodents.
汉坦病毒(科:汉坦病毒科;属: )及其相关的人类疾病在全球范围内发生,且因地理分布而有所不同。小型哺乳动物组合的结构和宿主物种之间的系统发育关系被认为是汉坦病毒感染在小型哺乳动物中维持和传播的重要驱动因素。我们利用当前对汉坦病毒-宿主分布的了解,从已确定的生态关联中,为啮齿动物组合中的汉坦病毒感染流行率开发了预测模型,以提供全球和大陆尺度的预测模型。我们利用了 1971 年至 2014 年发表的研究数据,并确定了小型哺乳动物组合的生物学和生态学特征,以预测汉坦病毒感染的流行率。这些模型可用于根据通过啮齿动物监测获得的环境和生物学信息预测汉坦病毒疾病的爆发。