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中国新疆蓝舌病病毒的流行病学与空间分布

Epidemiology and spatial distribution of bluetongue virus in Xinjiang, China.

作者信息

Ma Jun, Gao Xiang, Liu Boyang, Chen Hao, Xiao Jianhua, Wang Hongbin

机构信息

Department of Veterinary Surgery, Northeast Agricultural University, Harbin, China.

出版信息

PeerJ. 2019 Feb 22;7:e6514. doi: 10.7717/peerj.6514. eCollection 2019.

Abstract

Bluetongue (BT) is a non-contagious disease affecting domestic and wild ruminants. Outbreaks of BT can cause serious economic losses. To investigate the distribution characteristics of bluetongue virus (BTV), two large-scale censuses of BTV prevalence in Xinjiang, China were collected. Spatial autocorrelation analysis, including global spatial autocorrelation and local spatial autocorrelation, was performed. Risk areas for BTV occurrence in Xinjiang were detected using the presence-only maximum entropy model. The global spatial autocorrelation of BTV distribution in Xinjiang in 2012 showed a random pattern. In contrast, the spatial distribution of BTV from 2014 to 2015 was significantly clustered. The hotspot areas for BTV infection included Balikun County ( < 0.05), Yiwu County ( < 0.05) and Hami City ( < 0.05) in 2012. These three regions were also hotspot areas during 2014 and 2015. Sheep distribution (25.6% contribution), precipitation seasonality (22.1% contribution) and mean diurnal range (16.2% contribution) were identified as the most important predictors for BTV occurrence in Xinjiang. This study demonstrated the presence of high-risk areas for BTV infection in Xinjiang, which can serve as a tool to aid in the development of preventative countermeasures of BT outbreaks.

摘要

蓝舌病(BT)是一种影响家养和野生反刍动物的非传染性疾病。蓝舌病的爆发会造成严重的经济损失。为了调查蓝舌病病毒(BTV)的分布特征,收集了中国新疆两次大规模的BTV流行情况普查数据。进行了空间自相关分析,包括全局空间自相关和局部空间自相关。使用仅存在最大熵模型检测了新疆BTV发生的风险区域。2012年新疆BTV分布的全局空间自相关呈现随机模式。相比之下,2014年至2015年BTV的空间分布显著聚集。2012年BTV感染的热点区域包括巴里坤县(<0.05)、伊吾县(<0.05)和哈密市(<0.05)。这三个地区在2014年和2015年期间也是热点区域。绵羊分布(贡献25.6%)、降水季节性(贡献22.1%)和平均日较差(贡献16.2%)被确定为新疆BTV发生的最重要预测因素。本研究证明了新疆存在BTV感染的高风险区域,这可作为一种工具,有助于制定蓝舌病爆发的预防对策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbe1/6388665/2dd88ef01958/peerj-07-6514-g001.jpg

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