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| Analysis on the spatial clustering of multidrug resistant or rifampicin resistant pulmonary tuberculosis in Wenzhou |
| SHAN Zhi-li, LI Jun, PANG Ying-xin, MAO Ling-qiong, ZHU Xiao-mei
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| Wenzhou Center for Disease Control and Prevention,Wenzhou,Zhejiang 325000,China |
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Abstract Objective To understand the spatial distribution of multidrug resistant/rifampicin resistant pulmonary tuberculosis（MDR/RR PTB）in Wenzhou from 2014 to 2017,and to provide the scientific basis for MDR/RR TB control and prevention.Methods The data of MDR/RR PTB cases in Wenzhou from 2014 to 2017 were collected from the Tuberculosis Management Information System of the Chinese Disease Prevention and Control Information System,and was associated with the geographic information database of Wenzhou Survey and Mapping Research Institute. The global spatial autocorrelation analysis was carried out by ArcGIS 10.1 to determine if there was spatial clustering of MDR/RR PTB cases in Wenzhou. The specific clustering areas of the MDR/RR PTB in Wenzhou was analyzed by SaTScan 9.3 and presented by ArcGIS.Results There were 452 MDR/RR PTB cases reported in Wenzhou from 2014 to 2017,with a total registration rate of 4.74/100 000. The incidence rate of MDR/RR PTB in Wenzhou was unevenly distributed;the areas with registration rates of more than 7.45/100 000 were the north-central parts of Yongjia,the south-central parts of Yueqing and the east-central parts of Wencheng. The results of global spatial autocorrelation analysis showed that there were obvious clustering for MDR/RR PTB in Wenzhou（Moran's I=0.321,Z=7.352,P<0.001）. The spatial scanning found two clusters：20 towns/streets in the southeastern part of Yongjia and the south of Yueqing were the primary clustering areas（RR=2.213,LLR=22.353,P<0.001）;Yangyi Street and Shuangyu Street in Lucheng were the secondary clustering areas（RR=2.488,LLR=9.889,P=0.004）.Conclusion The MDR/RR PTB cases reported from 2014 to 2017 in Wenzhou had spatial clustering. The high-incidence areas were in the southeast of Yongjia,south of Yueqing,Yangyi Street and Shuangyu Street of Lucheng.
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Received: 16 November 2018
Revised: 24 December 2018
Published: 04 March 2019
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| Fund:浙江省医药卫生科技计划项目（2017KY635）; 温州市科技计划项目（Y20140039） |
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