Evidence map›Paper›PMID 39866042›Full record

ArticleAIDS research and human retroviruses2025

Molecular HIV Surveillance: Beyond Cluster Detection and Response.

Sanjay R Mehta, Antoine Chaillon, Alan B Wells, Susan J Little

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sanjay R MehtaDivision of Infectious Diseases & Global Public Health, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-2028-8158
Antoine ChaillonDivision of Infectious Diseases & Global Public Health, University of California San Diego, La Jolla, California, USA.
Alan B WellsDivision of Infectious Diseases & Global Public Health, University of California San Diego, La Jolla, California, USA.
Susan J LittleDivision of Infectious Diseases & Global Public Health, University of California San Diego, La Jolla, California, USA.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
Miami Dade County ASsessment of Phylogenetics to Improve Resource Equity: MD ASPIRER01MH132151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE, Natasha Martin · 2022 to 2026
$4.7M
NIAID NIH HHS P30 AI036214NIMH NIH HHS R01 MH132151
6 · The paper itself

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.

Indexed as

Epidemiological MonitoringHIVHIV InfectionsCluster AnalysisDisease OutbreaksHumansMolecular EpidemiologyUnited StatesclusteringHIVmolecular epidemiologymonitoringpreventionpublic health

Identifiers

PMID39866042
PMCPMC12139703

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.