Mehta Sanjay R, Chaillon Antoine, Wells Alan B, Little Susan J
Division of Infectious Diseases & Global Public Health, University of California San Diego, La Jolla, California, USA.
Department of Medicine, San Diego Veterans Affairs Medical Center, San Diego, California, USA.
AIDS Res Hum Retroviruses. 2025 Apr;41(4):175-180. doi: 10.1089/aid.2024.0084. Epub 2025 Jan 24.
There has been significant controversy surrounding the use of HIV sequence data to identify outbreaks of HIV transmission since the initiation of molecular HIV surveillance (MHS) in the US. The current approach to MHS is comprehensive cluster detection and response (CDR), in which clusters of related infections are identified and used as the basis for cluster-based or population-based interventions. With CDR, there are ethical and stigma concerns around the impingement of individual privacy, as well as legal concerns around the inference of transmission in regions where HIV criminalization laws and statutes exist. Here we propose an alternative approach to the analysis of HIV sequence and public health data that focuses on regions and populations rather than clusters, and still provides useful data for public health agencies.
自美国开展分子HIV监测(MHS)以来,围绕使用HIV序列数据来识别HIV传播疫情一直存在重大争议。当前的MHS方法是全面的聚类检测与应对(CDR),即识别相关感染的聚类,并将其作为基于聚类或基于人群的干预措施的基础。采用CDR时,存在侵犯个人隐私方面的伦理和污名化问题,以及在存在HIV定罪法律和法规的地区推断传播情况的法律问题。在此,我们提出一种分析HIV序列和公共卫生数据的替代方法,该方法侧重于地区和人群而非聚类,同时仍能为公共卫生机构提供有用数据。