Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Floridagrid.15276.37, Gainesville, Florida, USA.
Emerging Pathogens Institute, University of Floridagrid.15276.37, Gainesville, Florida, USA.
Microbiol Spectr. 2022 Dec 21;10(6):e0188922. doi: 10.1128/spectrum.01889-22. Epub 2022 Oct 12.
Florida is considered an epicenter of HIV in the United States. The U.S. federal plan for Ending the HIV Epidemic (EHE) within 10 years prioritizes seven of Florida's 67 counties for intervention. We applied molecular epidemiology methods to characterize the HIV infection networks in the state and infer whether the results support the EHE. HIV sequences ( = 34,446) and associated clinical/demographic metadata of diagnosed people with HIV (PWH), during 2007 to 2017, were retrieved from the Florida Department of Health. HIV genetic networks were investigated using MicrobeTrace. Associates of clustering were identified through boosted logistic regression. Assortative trait mixing was also assessed. Bayesian phylogeographic methods were applied to evaluate evidence of imported HIV-1 lineages and illustrate spatiotemporal flows within Florida. We identified nine large clusters spanning all seven EHE counties but little evidence of external introductions, suggesting-in the absence of undersampling-an epidemic that evolved independently from the rest of the country or other external influences. Clusters were highly assortative by geography. Most of the sampled infections (82%) did not cluster with others in the state using standard molecular surveillance methods despite satisfactory sequence sampling in the state. The odds of being unclustered were higher among PWH in rural regions, and depending on demographics. A significant number of unclustered sequences were observed in counties omitted from EHE. The large number of missing sequence links may impact timely detection of emerging transmission clusters and ultimately hinder the success of EHE in Florida. Molecular epidemiology may help better understand infection dynamics at the population level and underlying disparities in disease transmission among subpopulations; however, there is also a continuous need to conduct ethical discussions to avoid possible harm of advanced methodologies to vulnerable groups, especially in the context of HIV stigmatization. The large number of missing phylogenetic linkages in rural Florida counties and among women and Black persons with HIV may impact timely detection of ongoing and emerging transmission clusters and ultimately hinder the success of epidemic elimination goals in Florida.
佛罗里达州被认为是美国艾滋病病毒的一个中心。美国在 10 年内终结艾滋病疫情的联邦计划优先考虑了佛罗里达州 67 个县中的 7 个进行干预。我们应用分子流行病学方法来描述该州的艾滋病病毒感染网络,并推断这些结果是否支持终结艾滋病疫情计划。我们从佛罗里达州卫生部检索了 2007 年至 2017 年间诊断为艾滋病病毒感染者(PWH)的 34446 条 HIV 序列和相关临床/人口统计学元数据。使用 MicrobeTrace 调查 HIV 遗传网络。通过提升逻辑回归识别聚类的关联。还评估了 assortative 性状混合。应用贝叶斯系统地理学方法评估输入 HIV-1 谱系的证据,并说明佛罗里达州内的时空流动。我们发现了跨越所有 7 个终结艾滋病疫情计划县的 9 个大型集群,但几乎没有外部传入的证据,这表明——在没有抽样不足的情况下——一种与该国其他地区或其他外部影响无关的独立演变的流行病。集群在地理上高度聚集。尽管该州的序列采样令人满意,但使用标准分子监测方法,大多数采样感染(82%)与该州的其他感染没有聚类。在农村地区和根据人口统计学特征,未聚类的 PWH 出现的可能性更高。在未列入终结艾滋病疫情计划的县中观察到大量未聚类的序列。大量缺失的序列链接可能会影响正在进行的传播集群的及时检测,并最终阻碍终结艾滋病疫情计划在佛罗里达州的成功。分子流行病学可能有助于更好地了解人群层面的感染动态以及亚人群之间疾病传播的潜在差异;然而,也需要不断进行伦理讨论,以避免先进方法可能对弱势群体造成的伤害,特别是在艾滋病毒污名化的背景下。佛罗里达州农村县以及感染艾滋病毒的妇女和黑人中大量缺失的系统发育联系可能会影响正在进行和新出现的传播集群的及时检测,并最终阻碍终结艾滋病疫情计划在佛罗里达州的成功。