Evidence map›Paper›PMID 32932642›Full record

ArticleViruses2020

What Should Health Departments Do with HIV Sequence Data?

Ethan Romero-Severson, Arshan Nasir, Thomas Leitner

Abstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Ethan Romero-SeversonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Arshan NasirTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Thomas LeitnerTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0001-8160-2588

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Leveraging public health genotyping databases for near real-time HIV surveillanceR01AI135946 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI LEITNER, THOMAS K. · 2019 to 2023
$4.2M
National Institute of Allergy and Infectious Diseases R01AI35946NIAID NIH HHS R01 AI087520NIAID NIH HHS R01 AI135946
6 · The paper itself

Abstract

Many countries and US states have mandatory statues that require reporting of HIV clinical data including genetic sequencing results to the public health departments. Because genetic sequencing is a part of routine care for HIV infected persons; health departments have extensive sequence collections spanning years and even decades of the HIV epidemic. How should these data be used (or not) in public health practice? This is a complex; multi-faceted question that weighs personal risks against public health benefit. The answer is neither straightforward nor universal. However; to make that judgement-of how genetic sequence data should be used in describing and combating the HIV epidemic-we need a clear image of what a phylogenetically enhanced HIV surveillance system can do and what benefit it might provide. In this paper, we present a positive case for how up-to-date analysis of HIV sequence databases managed by health departments can provide unique and actionable information of how HIV is spreading in local communities. We discuss this question broadly, with examples from the US, as it is globally relevant for all health authorities that collect HIV genetic data.

Indexed as

Public HealthHIV-1HIV InfectionsHumansPhylogenyUnited StatesHIV epidemicmolecular surveillancephylogeneticspublic healthtransmission reconstruction

Identifiers

PMID32932642
PMCPMC7551807

What OpenQuestion holds

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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.