An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic

An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic

Molecular HIV cluster data can guide public health responses towards ending the HIV epidemic. Currently, real-time data integration, analysis, and interpretation are challenging, leading to a delayed public health response. We present a comprehensive methodology for addressing these challenges throu...

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Bibliographic Details
Main Authors: Mark Howison, Fizza S. Gillani, Vlad Novitsky, Jon A. Steingrimsson, John Fulton, Thomas Bertrand, Katharine Howe, Anna Civitarese, Lila Bhattarai, Meghan MacAskill, Guillermo Ronquillo, Joel Hague, Casey W. Dunn, Utpala Bandy, Joseph W. Hogan, Rami Kantor
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Viruses
Subjects:
molecular HIV clusters
phylogenetics
molecular epidemiology
HIV transmission networks
contact tracing
near-real-time data integration
Online Access:https://www.mdpi.com/1999-4915/15/3/737

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https://www.mdpi.com/1999-4915/15/3/737

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