Evidence map›Paper›PMID 34159215›Full record

ArticleOpen forum infectious diseases2021

Interplay Between Geography and HIV Transmission Clusters in Los Angeles County.

Britt Skaathun, Manon Ragonnet-Cronin, Kathleen Poortinga, Zhijuan Sheng, Yunyin W Hu, Joel O Wertheim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Britt SkaathunDepartment of Medicine, University of California San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0001-8780-3612
Manon Ragonnet-CroninDepartment of Medicine, University of California San Diego, La Jolla, California, USA.
Kathleen PoortingaDivision of HIV and STD Programs, Department of Public Health, Los Angeles County, California, USA.
Zhijuan ShengDivision of HIV and STD Programs, Department of Public Health, Los Angeles County, California, USA.
Yunyin W HuDivision of HIV and STD Programs, Department of Public Health, Los Angeles County, California, USA.
Joel O WertheimDepartment of Medicine, University of California San Diego, La Jolla, California, USA.

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SONIA JAIN · 1994 to 2026
$78.4M
Automation and Evaluation of Real-Time Transmission Network-Based HIV Prevention Services in New York CityR01AI135992 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2018 to 2022
$3.6M
Leveraging Networks, Epidemiology, and Epidemic Modeling: Creative Approaches for HIV EliminationK01DA049665 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SKAATHUN, BRITT · 2019 to 2023
$947k
Public Health Implications of HIV Transmission NetworksK01AI110181 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2014 to 2018
$668k
Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1NCATS NIH HHS UL1 TR001442NIAID NIH HHS K01 AI110181NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI135992NIDA NIH HHS K01 DA049665
6 · The paper itself

Abstract

backgroundClusters of HIV diagnoses in time and space and clusters of genetically linked cases can both serve as alerts for directing prevention and treatment activities. We assessed the interplay between geography and transmission across the Los Angeles County (LAC) HIV genetic transmission network.

methodsDeidentified surveillance data reported for 8186 people with HIV residing in LAC from 2010 through 2016 were used to construct a transmission network using HIV-TRACE. We explored geographic assortativity, the tendency for people to link within the same geographic region; concordant time-space pairs, the proportion of genetically linked pairs from the same geographic region and diagnosis year; and Jaccard coefficient, the overlap between geographical and genetic clusters.

resultsGeography was assortative in the genetic transmission network but less so than either race/ethnicity or transmission risk. Only 18% of individuals were diagnosed in the same year and location as a genetically linked partner. Jaccard analysis revealed that cis-men and younger age at diagnosis had more overlap between genetic clusters and geography; the inverse association was observed for trans-women and Blacks/African Americans.

conclusionsWithin an urban setting with endemic HIV, genetic clustering may serve as a better indicator than time-space clustering to understand HIV transmission patterns and guide public health action.

Indexed as

cluster analysisHIV infections/transmissionmolecular epidemiology

Identifiers

PMID34159215
PMCPMC8212943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.