Kantor Rami, Fulton John P, Steingrimsson Jon, Novitsky Vladimir, Howison Mark, Gillani Fizza, Li Yuanning, Manne Akarsh, Parillo Zoanne, Spence Matthew, Marak Theodore, Chan Philip, Dunn Casey W, Bertrand Thomas, Bandy Utpala, Alexander-Scott Nicole, Hogan Joseph W
Brown University, Providence, RI, USA.
Research Improving People's Life, Providence, RI, USA.
Stat Commun Infect Dis. 2020 Sep;12(Suppl 1). doi: 10.1515/scid-2019-0019. Epub 2020 Nov 11.
Great efforts are devoted to end the HIV epidemic as it continues to have profound public health consequences in the United States and throughout the world, and new interventions and strategies are continuously needed. The use of HIV sequence data to infer transmission networks holds much promise to direct public heath interventions where they are most needed. As these new methods are being implemented, evaluating their benefits is essential. In this paper, we recognize challenges associated with such evaluation, and make the case that overcoming these challenges is key to the use of HIV sequence data in routine public health actions to disrupt HIV transmission networks.
人们付出了巨大努力来终结艾滋病流行,因为它在美国乃至全世界仍对公共卫生造成深远影响,并且持续需要新的干预措施和策略。利用艾滋病毒序列数据推断传播网络极有希望指导在最需要的地方开展公共卫生干预。随着这些新方法的实施,评估其益处至关重要。在本文中,我们认识到与这种评估相关的挑战,并提出克服这些挑战是在常规公共卫生行动中利用艾滋病毒序列数据来破坏艾滋病毒传播网络的关键。