【摘要】 目的 分析2015―2023年贵州省淋病时空聚集性，为防控工作提供理论依据。方法 通过中国疾病预防控制信息系统中的传染病监测系统收集2015―2023年贵州省88个县(市、区)淋病报告病例，通过Joinpoint 5.2.0软件进行时间趋势分析，运用ArcGIS 10.8软件和SaTScan 9.7软件对淋病年发病率进行空间自相关分析和逐年时空扫描分析。结果 2015―2023年贵州省累计报告淋病29 271例，年均报告发病率为8.53/10万，呈上升趋势(AAPC=9.99%, 95%CI:4.66%～16.77%,P<0.001)。2015―2023年男性报告发病率均高于女性，且呈逐年上升趋势(AAPC=11.00%, 95%CI:7.18%～15.88%,P<0.001)。全局莫兰指数范围为0.130～0.376(除2016年外，均P<0.05)。2017―2023年全局G系数检验统计量均Z(G)>1.96,表明淋病报告发病率呈高值聚集模式。局部空间自相关分析结果显示，2015―2023年热点地区逐步转移到黔西南布依族苗族自治州(简称黔西南州)所辖的9个县(区)及毗邻的安顺市(紫云苗族布依族自治县和关岭布依族苗族自治县),以及黔南布依族苗族自治州(简称黔南州)(长顺县、平塘县、罗甸县)等少数民族聚集地。时空扫描分析共探测出3个聚集区域，一类聚集区主要分布在贵州省西南部的黔西南州及毗邻县(区),与热点地区类似；二类聚集区主要分布在遵义市、铜仁市、黔东南苗族侗族自治州、黔南州和贵阳市5个市州的相邻县(区)。结论 2015―2023年贵州省淋病报告发病率总体呈上升趋势，男性高于女性，热点地区和时空聚集区分布基本一致，主要分布在贵州省西南部的黔西南州及毗邻县(区),应针对该地区采取有效的防控措施。更多还原

【Abstract】 Objective To analyze the temporal-spatial clustering of gonorrhea in Guizhou Province from 2015 to 2023, and to provide a theoretical basis for prevention and control. Methods Gonorrhea reported cases in 88 counties(cities, districts) of Guizhou province from 2015 to 2023 were collected through the Infectious Disease Surveillance System of the China Disease Control and Prevention Information System. Time trend analysis was conducted using Joinpoint 5.2.0 software, and spatial autocorrelation analysis and annual spatio-temporal scan analysis of annual gonorrhea incidence rates were performed using software of ArcGIS 10.8 and SaTScan 9.7. Results From 2015 to 2023, there were 29 271 gonorrhea cases reported in Guizhou province, with an average incident rate of 8.53 per 100 000. The reported incidence rate has consistently increased(AAPC=9.99%, 95% CI: 4.66%-16.77%, P<0.001), from 4.50 per 100 000 in 2015 to 10.98 per 100 000 in 2023. The rate in males was higher than that in females, and males showed a year-by-year upward trend(AAPC=11.00%, 95% CI: 7.18%-15.88%, P<0.001). The global Moran′s I figures ranged from 0.130 to 0.376(P<0.05 in each year except for 2016). The global G coefficient test statistics from 2017 to 2023 showed that Z(G) figure was more than 1.96, indicating that reported gonorrhea cases were in high-value clustering. Local spatial autocorrelation analysis showed that from 2015 to 2023, the hot spots gradually shifted to the 9 counties and districts under the Qianxinan Buyi and Miao Autonomous Prefecture(Qianxinan Prefecture for short) and adjacent counties and districts of other cities and prefectures(Ziyun Miao and Buyi Autonomous County and Guanling Buyi and Miao Autonomous County), as well as minority-inhabited areas such as Qiannan Buyi and Miao( Qiannan Prefecture for short) Autonomous Prefecture(Changshun county, Pingtang county, Luodian county). Spatio-temporal scan analysis detected a total of three areas where reported cases congregate. The first was in Qianxinan and adjacent counties and districts, much overlapping with hot spots areas; the second mainly covered adjacent counties and districts of the five cities and prefectures of Zunyi, Tongren, Qiandongnan Miao and Dong, Qiannan, and Guiyang City. Conclusions Spanning from 2015 to 2023, the incident rate of reported gonorrhea cases in Guizhou province has been in an overall increasing trend, with figure in males significantly higher than it in females. The hot spots areas basically overlap with temporal-spatial clustering areas, which were mainly located in Qianxinan and adjacent counties and districts in the southwest of Guizhou province. Effective prevention and control measures should be taken in these regions.更多还原