云南省德宏州2017-2022年HIV新近感染者的时空分布特征分析

Spatiotemporal distribution analysis of recent HIV infections in Dehong Prefecture,Yunnan Province,from 2017 to 2022

目的对云南省德宏州2017-2022年HIV新近感染者的时空分布特征进行分析,以了解该地区HIV新近感染风险的时空变化趋势。方法使用贝叶斯层次模型进行时空分析,使用ArcGIS软件进行数据可视化。结果在德宏州2017-2022年发现的所有新报告HIV感染者中,通过限制性抗原亲和力检测判定HIV新近感染者人数依次为47例、59例、56例、52例、37例、33例。对HIV新近感染者的地理分布进行时空分析的结果显示,德宏州HIV新近感染风险的时间总体趋势由2017年的1.18降至2022年的0.74。德宏州的HIV新近感染风险空间分布存在异质性,HIV新近感染热点地区主要分布在德宏州西南部,靠近中缅边境,其中盈江县和陇川县与缅甸接壤的部分乡镇具有较高的HIV新近感染风险。结论德宏州的HIV新近感染风险在2017-2022年整体呈下降趋势,但仍应重点关注德宏州中缅边境地区的艾滋病防控。

Objective To analyze spatiotemporal distribution characteristics of recent HIV infections in Dehong Dai and Jingpo Autonomous Prefecture(Dehong Prefecture),Yunnan Province,from 2017 to 2022,aiming to understand the spatiotemporal trends of recent HIV infection risks in this region.Methods A Bayesian hierarchical model was applied for spatiotemporal analysis,and data visualization was conducted using ArcGIS software.Results Among all newly reported HIV infections in Dehong Prefecture between 2017 and 2022,the number of recent HIV infections identified through limited antigen avidity enzyme immunoassay was 47,59,56,52,37,and 33 cases,respectively.Spatiotemporal analysis of the geographic distribution of recent HIV infections revealed that the overall temporal trend in the risk of recent HIV infection decreased from 1.18 in 2017 to 0.74 in 2022.There was substantial spatial heterogeneity in the distribution of recent HIV infection risk in Dehong Prefecture,with hotspots mainly located in the southwestern region,near the China-Myanmar border.In particular,areas such as Yingjiang County and Longchuan County,bordering Myanmar,exhibited higher risks of recent HIV infection.Conclusions The overall risk of recent HIV infections in Dehong Prefecture showed a declining trend from 2017 to 2022.However,attention should be paid to HIV prevention and control efforts in the China-Myanmar border areas within Dehong Prefecture.