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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Auteurs principaux:	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
Langue:	Inglês
Publié:	MDPI AG 2023-03-01
Collection:	Viruses
Sujets:	molecular HIV clusters phylogenetics molecular epidemiology HIV transmission networks contact tracing near-real-time data integration
Accès en ligne:	https://www.mdpi.com/1999-4915/15/3/737
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