Objective: To analyze the migration of the HIV/AIDS cases and related factors in Liangshan Yi autonomous prefecture (Liangshan). Methods: According to HIV/AIDS Comprehensive Response Information Management System of China Information System for Disease Control and Prevention, a total of 28 772 HIV/AIDS cases who had follow-up records in Liangshan in 2020 were included in the survey. The migration of the HIV/AIDS cases was described and the related factors were analyzed using multiple logistic regression models, and the migration destinations of the HIV/AIDS cases were mapped. Results: Among the 28 772 HIV/AIDS cases, 20.89% (6 010/28 772) had migration in 2020. Multivariate logistic regression analysis showed that among the HIV/AIDS cases, the migration related factors included being aged 15-24 years (compared with being aged 0-14 years, OR=2.74, 95%CI:2.04-3.69) and ethnic group (compared with Han ethnic group, OR=2.44, 95%CI:2.19-2.72), having education level of junior high school (compared with having education level of primary school or below, OR=1.25, 95%CI:1.14-1.38), being unmarried (compared with being married, OR=1.29, 95%CI:1.20-1.39), being engaged in business services (compared with being engaged in farming, OR=1.96, 95%CI:1.31-2.92), receiving antiviral treatment <1 year (compared with receiving antiviral treatment >3 years, OR=1.42, 95%CI:1.26-1.61), having recent CD4+T lymphocytes (CD4) counts >500 cells/μl (compared with having recent CD4 counts <200 cells/μl, OR=1.15, 95%CI:1.03-1.29). The geographical distribution maps showed that among all cities in Sichuan, Xichang (13.26%, 797/6 010) and Chengdu (10.12%,608/6 010) were the main migration destinations of the HIV/AIDS cases, and the provinces outside Sichuan where the HIV/AIDS cases would like to migrate to were mainly Guangdong (18.19%, 1 093/6 010) and Zhejiang provinces (7.67%, 461/6 010) in 2020. The HIV/AIDS cases who migrated where Liangshan, within Sichuan province, and to other provinces accounted for 27.67% (1 663/6 010), 15.34% (922/6 010) and 56.99% (3 425/6 010), respectively. Conclusions: More attention should be paid to the mobility characteristics and the classification management of HIV/AIDS cases according to their characteristics in Liangshan. Timely access to information on changes in the place of work and residence of HIV/AIDS cases should be warranted when they have migration. Good referrals and management for mobility of HIV/AIDS cases in different places should be made to reduce loss to follow-up and improving interventions.
目的： 分析凉山彝族自治州（凉山州）现存活艾滋病病毒感染者/艾滋病病例（HIV/AIDS）流动情况及相关因素。 方法： 根据我国艾滋病综合防治信息系统，纳入凉山州2020年有随访记录的28 772例HIV/AIDS作为研究对象，分析其流动情况，采用多因素logistic回归模型分析流动的相关因素，绘制HIV/AIDS流入地的疫情地图。 结果： 28 772例HIV/AIDS中，2020年发生流动的占20.89%（6 010/28 772）。多因素logistic回归分析结果显示，HIV/AIDS流动的促进因素包括15~24岁年龄组（相比于0~14岁年龄组，OR=2.74，95%CI：2.04~3.69）、彝族（相比于汉族，OR=2.44，95%CI：2.19~2.72）、初中文化程度（相比于小学及以下文化程度，OR=1.25，95%CI：1.14~1.38）、未婚（相比于已婚，OR=1.29，95%CI：1.20~1.39）、职业为商业服务（相比于农民，OR=1.96，95%CI：1.31~2.92）、抗病毒治疗时间<1年（相比于抗病毒治疗时间>3年，OR=1.42，95%CI：1.26~1.61）、最近1次CD4+T淋巴细胞计数（CD4）>500个/µl（相比于CD4<200个/µl，OR=1.15，95%CI：1.03~1.29）。地理分布结果显示，2020年HIV/AIDS在四川省内流入地以西昌市（13.26%，797/6 010）和成都市（10.12%，608/6 010）为主，在四川省外流入地以广东省（18.19%，1 093/6 010）和浙江省（7.67%，461/6 010）为主。在凉山州内流动、四川省内及凉山州外流动、四川省外流动的分别占27.67%（1 663/6 010）、15.34%（922/6 010）和56.99%（3 425/6 010）。 结论： 应关注凉山州HIV/AIDS的流动特征，根据HIV/AIDS特征进行人群分类管理，在HIV/AIDS流动时，及时获取HIV/AIDS工作和居住地发生变化的信息，做好流动HIV/AIDS的转介和管理工作，减少该人群的失访和干预难度。.