【摘要】 目的 分析安徽省2004-2023年报告死亡HIV/AIDS患者的死亡变化趋势及时空分布特征，为减少艾滋病死亡提供策略建议。方法 基于2004-2023年安徽省各县区历年报告死亡的HIV/AIDS病例数，采用Geoda1.22软件进行全局空间自相关和局部空间自相关分析，SaTScan 10.2.5软件进行时空扫描分析获得报告死亡HIV/AIDS患者的聚集特点，并采用QGIS 3.30进行可视化展示，对安徽省近20年间报告死亡HIV/AIDS患者的空间分布进行分析。结果 安徽省HIV/AIDS患者报告死亡率从2004年的0.16/10万上升到2023年的1.11/10万(χ²_趋势=6.52,P=0.01)，其中≥65岁年龄组的死亡率上升幅度最大，从0.01/10万上升至2.79/10万。各年全局Moran′s I指数为0.1818～0.6123（P均<0.01）,2004-2023年存在正向空间自相关。时空扫描结果显示，安徽省HIV/AIDS患者死亡有11个县区为一级聚集区域，位于阜阳市和亳州市；19个县区为二级聚集区域，位于宿州市、蚌埠市、滁州市和淮北市；17个县区为三级聚集区域，位于六安市和安庆市（P均<0.001）。结论 2004-2023年安徽省HIV/AIDS报告死亡率呈现上升趋势，死亡病例呈现以皖北地区阜阳市和亳州市为主的局部聚集性分布，且≥65岁年龄组的死亡率上升幅度最大。提示今后应重点关注老年人艾滋病相关死亡，并根据不同聚集区特点开展针对性综合干预，降低HIV/AIDS的死亡风险。更多还原

【Abstract】 Objective To explore the distribution characteristics of human immunodeficiency virus（HIV）/acquired immune deficiency syndrome（AIDS） mortality in the Anhui Province over the past 20 years, analyze trends in mortality changes and spatiotemporal distribution features, and provide scientific guidance for reducing AIDS-related deaths. Methods By analyzing the annual reported HIV/AIDS deaths in the Anhui Province from 2004 to 2023, global and local spatial autocorrelation analyses were performed using the Geoda 1.22 software, clustering characteristics were identified using spatiotemporal scanning with SaTScan 10.2.5, and the spatial distribution was visualized through QGIS 3.30,providing a comprehensive analysis of HIV/AIDS mortality in Anhui over the past two decades. Results The reported mortality rate among patients with HIV/AIDS in Anhui Province rose from 0.16 per 100 000 in 2004 to 1.11 per 100,000 in 2023(χ_trend²=6.52, P=0.01). The greatest increase occurred in patients aged ≥65, in whom the mortality rate rose from 0.01 per 100, 000 to 2.79 per 100,000. From 2004 to 2023, global Moran’s I indices ranged from 0.1818 to 0.6123 across the years, with all P-values <0.01, indicating the presence of positive spatial autocorrelation. For HIV/AIDS mortality in the Anhui Province spatial-temporal scan statistical analysis revealed that 11 counties and districts in Fuyang and Bozhou cities were classified as primary cluster areas. Conversely, 19 counties and districts in Suzhou, Bengbu, Chuzhou, and Huaibei cities were classified as secondary cluster areas, and 17 counties and districts in Lu’an and Anqing cities were classified as tertiary cluster areas, with P-values <0.001 for all values, respectively. Conclusions HIV/AIDS mortality rates in the Anhui Province showed a steady upward trend from 2004 to 2023. The deaths were predominantly clustered in Fuyang and Bozhou cities in northern Anhui, with the most significant increases observed in patients aged ≥65. This indicates that future efforts should prioritize addressing AIDS deaths among the elderly and implementing targeted comprehensive interventions tailored to the characteristics of different affected areas to reduce the HIV/AIDS mortality risk.更多还原