Molecular HIV Surveillance: Beyond Cluster Detection and Response

There has been significant controversy surrounding the use of HIV sequence data to identify outbreaks of HIV transmission since the initiation of molecular HIV surveillance (MHS) in the US. The current approach to MHS is comprehensive cluster detection and response (CDR), in which clusters of related infections are identified and used as the basis for cluster-based or population-based interventions. With CDR, there are ethical and stigma concerns around the impingement of individual privacy, as well as legal concerns around the inference of transmission in regions where HIV criminalization laws and statutes exist. Here we propose an alternative approach to the analysis of HIV sequence and public health data that focuses on regions and populations rather than clusters, and still provides useful data for public health agencies.

Authors

Institutions

Publication Details

Journal
AIDS Research and Human Retroviruses
Published
2025-01-27
DOI
https://doi.org/10.1089/aid.2024.0084
Citations
1
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular HIV Surveillance: Beyond Cluster Detection and Response

Antoine Chaillon, Susan J. Little, Sanjay R. Mehta, Alan Wells
1 citations
AIDS Research and Human Retroviruses
HIV Research and Treatment
1.04
article

Molecular HIV Surveillance: Beyond Cluster Detection and Response

Antoine Chaillon, Susan J. Little, Sanjay R. Mehta, Alan Wells
article en
1 citations

Abstract

There has been significant controversy surrounding the use of HIV sequence data to identify outbreaks of HIV transmission since the initiation of molecular HIV surveillance (MHS) in the US. The current approach to MHS is comprehensive cluster detection and response (CDR), in which clusters of related infections are identified and used as the basis for cluster-based or population-based interventions. With CDR, there are ethical and stigma concerns around the impingement of individual privacy, as well as legal concerns around the inference of transmission in regions where HIV criminalization laws and statutes exist. Here we propose an alternative approach to the analysis of HIV sequence and public health data that focuses on regions and populations rather than clusters, and still provides useful data for public health agencies.

AIDS Research and Human RetrovirusesVol. 41(4)
San Francisco VA Medical Center (US), University of California System (US), University of California San Diego (US)
Good health and well-being
Openalex Percentile: Top 28%
HIV Research and Treatment
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.