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首页> 外文期刊>BMC Infectious Diseases >Clusters of spatial, temporal, and space-time distribution of hemorrhagic fever with renal syndrome in Liaoning Province, Northeastern China
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Clusters of spatial, temporal, and space-time distribution of hemorrhagic fever with renal syndrome in Liaoning Province, Northeastern China

机译：中国辽宁省辽宁省肾综合征出血热的空间，颞型和时空分布簇

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Background Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by Hantavirus, with characteristics of fever, hemorrhage, kidney damage, and hypotension. HFRS is recognized as a notifiable public health problem in China, and Liaoning Province is one of the most seriously affected areas with the most cases in China. It is necessary to investigate the spatial, temporal, and space-time distribution of confirmed cases of HFRS in Liaoning Province, China for future research into risk factors. Methods A cartogram map was constructed; spatial autocorrelation analysis and spatial, temporal, and space-time cluster analysis were conducted in Liaoning Province, China over the period 1988-2001. Results When the number of permutation test was set to 999, Moran's I was 0.3854, and was significant at significance level of 0.001. Spatial cluster analysis identified one most likely cluster and four secondary likely clusters. Temporal cluster analysis identified 1998-2001 as the most likely cluster. Space-time cluster analysis identified one most likely cluster and two secondary likely clusters. Conclusions Spatial, temporal, and space-time scan statistics may be useful in supervising the occurrence of HFRS in Liaoning Province, China. The result of this study can not only assist health departments to develop a better prevention strategy but also potentially increase the public health intervention's effectiveness.
机译：背景技术出血热与肾综合征（HFRS）是由汉坦病毒引起的啮齿动物疾病，具有发烧，出血，肾脏损伤和低血压特征。 HFRS被公认为中国的通知公共卫生问题，辽宁省是中国最严重影响的地区之一。有必要调查辽宁省HFRS案例的空间，时间和时空分布，以促进危险因素。方法建造了一张行画图形地图;在1988 - 2001年期间，中国在辽宁省进行了空间自相关分析及空间，时间和时空集群分析。结果置换试验的数量设定为999，莫兰的I为0.3854，显着率为0.001。空间聚类分析确定了一个最可能的集群和四个二级可能的集群。时间集群分析为1998 - 2001年作为最可能的集群。时空群集分析确定了最可能的集群和两个二级可能集群。结论空间，时间和时空扫描统计数据可用于监督辽宁省HFRS的发生。本研究的结果不仅可以帮助卫生部门制定更好的预防策略，而且可能会增加公共卫生干预的有效性。

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