Objective: To investigate the status and influencing factors of latent tuberculosis infection (LTBI) among enterprise employees in Wenzhou City, Zhejiang Province, so as to provide evidence for optimizing tuberculosis prevention and control strategies in enterprises. Methods: From August 2024 to September 2025, a convenience sampling method was used to select employees from 26 enterprises in Wenzhou City as the study participants. Demographic information, enterprise scale, and industry type were collected by reviewing enterprise employee management files. Interferon-gamma release assays were used to detect Mycobacterium tuberculosis infection and screen for LTBI. Factors affecting LTBI among enterprise employees were identified using a multivariable logistic regression model. Results: A total of 6 476 participants were surveyed, including 3 674 males (56.73%) and 2 802 females (43.27%). The median age was 37.00 (interquartile range, 20.00) years. A total of 994 cases of LTBI were detected, with a detection rate of 15.35%. Multivariable logistic regression analysis showed that male (OR=1.397, 95%CI: 1.211-1.612), age ≥45 years (45-<60 years, OR=1.919, 95%CI: 1.649-2.234; ≥60 years, OR=4.425, 95%CI: 3.170-6.177), household registration outside Zhejiang Province (OR=1.928, 95%CI: 1.577-2.357), employment in small or medium-sized enterprises (medium-sized, OR=1.663, 95%CI: 1.392-1.988; small-sized, OR=1.665, 95%CI: 1.358-2.040), and working in the manufacturing industry (OR=1.799, 95%CI: 1.147-2.822) were associated with a higher risk of LTBI among enterprise employees. Conclusions The detection rate of LTBI among enterprise employees in Wenzhou City was relatively low. Male employees, those aged ≥45 years, those with household registration outside Zhejiang Province, those working in small or medium-sized enterprises, and those in the manufacturing industry were identified as high-risk populations for LTBI.

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.