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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-03-01
Schriftenreihe:Viruses
Schlagworte:
molecular HIV clusters
phylogenetics
molecular epidemiology
HIV transmission networks
contact tracing
near-real-time data integration
Online-Zugang:https://www.mdpi.com/1999-4915/15/3/737
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