Evidence map›Paper›PMID 24722543›Full record

ArticleInternational journal of environmental research and public health2014

Spatial analysis of HIV positive injection drug users in San Francisco, 1987 to 2005.

Alexis N Martinez, Lee R Mobley, Jennifer Lorvick, Scott P Novak, Andrea Lopez, Alex H Kral

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Spatial Analysis of the Human Immunodeficiency Virus Epidemic among Men Who Have Sex with Men in China, 2006-2015.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  7. Article
  8. Article
  9. 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.

Alexis N MartinezDepartment of Sociology and Sexuality Studies, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA. alexisnm@sfsu.edu.
Lee R MobleyGeoDa Center, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287, USA. lmobley@gsu.edu.
Jennifer LorvickUrban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA. jlorvick@rti.org.
Scott P NovakUrban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA. snovak@rti.org.
Andrea LopezUrban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA. alopez@rti.org.
Alex H KralUrban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA. akral@rti.org.

Funding

Assessing Patterns of HIV Risk Among IDUs in Neighborhood Environments over TimeR01DA023377 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI KRAL, ALEXANDER H · 2009 to 2011
$1.4M
NIDA NIH HHS R01 DA023377NIDA NIH HHS R01DA023377-01A2NIMHD NIH HHS L60 MD007355
6 · The paper itself

Abstract

Spatial analyses of HIV/AIDS related outcomes are growing in popularity as a tool to understand geographic changes in the epidemic and inform the effectiveness of community-based prevention and treatment programs. The Urban Health Study was a serial, cross-sectional epidemiological study of injection drug users (IDUs) in San Francisco between 1987 and 2005 (N = 29,914). HIV testing was conducted for every participant. Participant residence was geocoded to the level of the United States Census tract for every observation in dataset. Local indicator of spatial autocorrelation (LISA) tests were used to identify univariate and bivariate Census tract clusters of HIV positive IDUs in two time periods. We further compared three tract level characteristics (% poverty, % African Americans, and % unemployment) across areas of clustered and non-clustered tracts. We identified significant spatial clustering of high numbers of HIV positive IDUs in the early period (1987-1995) and late period (1996-2005). We found significant bivariate clusters of Census tracts where HIV positive IDUs and tract level poverty were above average compared to the surrounding areas. Our data suggest that poverty, rather than race, was an important neighborhood characteristic associated with the spatial distribution of HIV in SF and its spatial diffusion over time.

Indexed as

AdultDrug UsersFemaleHIV InfectionsHIV SeroprevalenceHumansMaleMiddle AgedPovertySan FranciscoSpatial AnalysisSubstance Abuse, Intravenous

Identifiers

PMID24722543
PMCPMC4024992

What OpenQuestion holds

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LicenceCC BY
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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.