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首页> 外文期刊>International Journal of Environmental Research and Public Health >Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand
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Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand

机译：结核病的空间格局检测：以泰国西沙革省为例

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摘要

This retrospective population-based study was conducted to analyze spatial patterns of tuberculosis (TB) incidence in Si Sa Ket province, Thailand. TB notification data from 2004 to 2008 collected from TB clinics throughout the province was used along with population data to reveal a descriptive epidemiology of TB incidences. Global clustering patterns of the occurrence were assessed by using global spatial autocorrelation techniques. Additionally, local spatial pattern detection was performed by using local spatial autocorrelation and spatial scan statistic methods. The findings indicated clusters of the disease occurred in the study area. More specifically, significantly high-rate clusters were mostly detected in Mueang Si Sa Ket and Khukhan districts, which are located in the northwestern part of the province, while significantly low-rate clusters were persistent in Kantharalak and Benchalak districts, which are located at the southeastern area.
机译：这项基于人群的回顾性研究旨在分析泰国西萨克特省结核病（TB）发病率的空间格局。从全省结核病诊所收集的2004年至2008年的结核病通报数据与人口数据一起用于揭示结核病发病率的描述性流行病学。通过使用全局空间自相关技术评估了事件的全局聚类模式。另外，通过使用局部空间自相关和空间扫描统计方法来执行局部空间模式检测。研究结果表明该疾病群发生在研究区域。更具体地讲，在位于该省西北部的Mueang Si Sa Ket和Khukhan区中，大多数高速率集群被发现，而在该省西北部的Kantharalak和Benchalak区中，低速率集群持续存在。东南地区。

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