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J Urban Health. 2023 Dec;100(6):1193-1201. doi: 10.1007/s11524-023-00809-9. Epub 2023 Nov 27.
2
Lessons learned from community engagement regarding phylodynamic research with molecular HIV surveillance data.从社区参与中获得的关于利用分子 HIV 监测数据进行系统发育研究的经验教训。
J Int AIDS Soc. 2023 Jul;26 Suppl 1(Suppl 1):e26111. doi: 10.1002/jia2.26111.
3
Advancing Dialogue About Consent and Molecular HIV Surveillance in the United States: Four Proposals Following a Federal Advisory Panel's Call for Major Reforms.推进美国关于同意和分子 HIV 监测的对话：联邦咨询小组呼吁进行重大改革后的四项建议。
Milbank Q. 2023 Dec;101(4):1033-1046. doi: 10.1111/1468-0009.12663. Epub 2023 Jun 28.
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Not all clusters are equal: dynamics of molecular HIV-1 clusters in a statewide Rhode Island epidemic.并非所有的集群都一样：罗得岛州艾滋病疫情中分子 HIV-1 集群的动态变化。
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分子层面的HIV监测：超越聚集性检测与应对

Molecular HIV Surveillance: Beyond Cluster Detection and Response.

作者信息

Mehta Sanjay R, Chaillon Antoine, Wells Alan B, Little Susan J

机构信息

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.

出版信息

AIDS Res Hum Retroviruses. 2025 Apr;41(4):175-180. doi: 10.1089/aid.2024.0084. Epub 2025 Jan 24.

DOI:10.1089/aid.2024.0084
PMID:39866042
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12139703/
Abstract

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.

摘要

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。