Dynamics of clustering rates in the Rhode Island HIV-1 epidemic

Exploring dynamics of HIV clustering rates over three decades in a statewide HIV-1 epidemic expanded its characterization and provided insight into its evolving changes. These dynamics may indicate a gradual shift towards a more concentrated and localized HIV-1 epidemic, highlighting important opportunities for targeted interventions to effectively prevent new HIV transmissions.

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Publication Details

Journal
AIDS
Published
2024-11-08
DOI
https://doi.org/10.1097/qad.0000000000004062
Citations
2
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.69
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article

Dynamics of clustering rates in the Rhode Island HIV-1 epidemic

Rami Kantor, August Guang, Lila Bhattarai, John P Fulton et al.
2 citations
AIDS
Bayesian Methods and Mixture Models
0.69
article

Dynamics of clustering rates in the Rhode Island HIV-1 epidemic

Rami Kantor, August Guang, Lila Bhattarai, John P Fulton, Joel Hague, Mark Howison, Fizza S. Gillani, Utpala Bandy, Thomas Bertrand, Joseph W. Hogan, Jon A. Steingrimsson, Casey W. Dunn, Meghan MacAskill, Vlad Novitsky
article en
2 citations

Abstract

Exploring dynamics of HIV clustering rates over three decades in a statewide HIV-1 epidemic expanded its characterization and provided insight into its evolving changes. These dynamics may indicate a gradual shift towards a more concentrated and localized HIV-1 epidemic, highlighting important opportunities for targeted interventions to effectively prevent new HIV transmissions.

AIDSVol. 39(2)
Rhode Island Department of Health (US), Providence College (US), Brown University (US), Yale University (US)
Good health and well-being
Openalex Percentile: Top 23%
Bayesian Methods and Mixture Models
0.69
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