Lin M, Cui Z Z, Lin D W, Liang D B, Huang M Y, Su H B, Tang X Y
Institute of Tuberculosis Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China.
Institute of Tuberculosis Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China;Epidemiology Unit, Faculty of Medicine, Prince of Songkhla University, Songkhla 90112, Thailand.
Zhonghua Liu Xing Bing Xue Za Zhi. 2017 Sep 10;38(9):1206-1211. doi: 10.3760/cma.j.issn.0254-6450.2017.09.013.
To study the spatial and temporal mode of infectious TB transmission in Guangxi Zhuang Autonomous Region (Guangxi). Data related to infectious TB case (Include smear and/or culture positive patients) in Guangxi were collected from the National Notifiable Disease Reported System (NNDRS) from 2010 to 2015. Spatial-temporal analysis and prediction were performed by SaTScan 7.0.2, GeoDa 1.8.12, R program v 3.3.1 and SPSS 19.0 software, using the time series model, Moran's global and local spatial autocorrelation (Empirical Bayes adjustment). Kulldorff 's space-time scan statistics displayed by R software was used to identify the temporal and spatial trend of TB. The total number of infectious TB cases, collected from NNDRS was 76 151, and showing a decreasing trend on annual incidence (value of Chi-square for Linear trend=3 464.53, -value=0.000). The forecast value of TB cases in 2016 was 7 764 (4 971-10 557), with peak in March, analyzed through the Winters'multiplicative model. The Moran's global Statistics was greater than 0 (0.257-0.390). TB cluster seemed to have been existed for several years. The most significant hot spots seemed to be mainly located in the central and western parts of Guangxi, shown by local spatial autocorrelation statistics and the result from space-time scanning.Counties or districts that located in the east parts of Guangxi presented the low-low relation (significant cold spots). The situation of infectious TB seemed migratory. Our data showed an annual decreasing trend of incidence on infectious TB with temporal concentration in spring and summer. Main clusters (hot spots) were found to be located in the central and western parts of Guangxi. Hopefully, our findings can provide clues to uncover the real mode of TB transmission at the molecular-biological level.
研究广西壮族自治区(广西)传染性肺结核(TB)的时空传播模式。从国家法定传染病报告系统(NNDRS)收集2010年至2015年广西传染性TB病例(包括涂片和/或培养阳性患者)的数据。使用时间序列模型、Moran's全局和局部空间自相关(经验贝叶斯调整),通过SaTScan 7.0.2、GeoDa 1.8.12、R程序v 3.3.1和SPSS 19.0软件进行时空分析和预测。利用R软件显示的Kulldorff时空扫描统计量来识别TB的时空趋势。从NNDRS收集的传染性TB病例总数为76151例,年发病率呈下降趋势(线性趋势的卡方值=3464.53,P值=0.000)。通过温特斯乘法模型分析,2016年TB病例的预测值为7764例(4971 - 10557例),3月达到峰值。Moran's全局统计量大于0(0.257 - 0.390)。TB聚集似乎已经存在数年。局部空间自相关统计和时空扫描结果显示,最显著的热点似乎主要位于广西中部和西部。位于广西东部的县或区呈现低 - 低关系(显著冷点)。传染性TB的情况似乎具有迁移性。我们的数据显示传染性TB发病率呈年度下降趋势,时间上集中在春季和夏季。主要聚集区(热点)位于广西中部和西部。希望我们的研究结果能够为在分子生物学水平上揭示TB的真实传播模式提供线索。