Rami Kantor, John P. Fulton, Jon Steingrimsson, Vladimir Novitsky, Mark Howison, Fizza Gillani, Yuanning Li, Akarsh Manne, Zoanne Parillo, Matthew Spence, Theodore Marak, Philip Chan, Casey W. Dunn, Thomas Bertrand, Utpala Bandy, Nicole Alexander-Scott, Joseph W. Hogan
November 11, 2020
Article number: 20190019
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.