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Challenges in evaluating the use of viral sequence data to identify HIV transmission networks for public health

  • Rami Kantor , John P. Fulton EMAIL logo , 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 and Joseph W. Hogan

Abstract

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.


Corresponding author: John P. Fulton, Brown University, Providence, RI, USA, E-mail:

Funding source: National Institute of Allergy and Infectious Diseases

Award Identifier / Grant number: R01 AI136058, P30 AI042853

  1. Research funding: This research was funded by the National Institute of Allergy and Infectious Diseases (R01 AI136058, P30 AI042853).

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

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Received: 2019-11-01
Accepted: 2020-10-22
Published Online: 2020-11-11

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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