Evidence map›Paper›PMID 29615383›Full record

ArticleJMIR public health and surveillance2018

HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South.

Thomas J Stopka, Lauren Brinkley-Rubinstein, Kendra Johnson, Philip A Chan, Marga Hutcheson, Richard Crosby, Deirdre Burke, Leandro Mena, Amy Nunn

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

17 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 7 institutions in 1 country.

Thomas J StopkaDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, United States.ORCID http://orcid.org/0000-0003-2314-8924
Lauren Brinkley-RubinsteinDepartment of Social Medicine, University of North Carolina, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-2191-6240
Kendra JohnsonMississippi State Department of Health, Jackson, MS, United States.ORCID http://orcid.org/0000-0003-1607-084X
Philip A ChanSchool of Public Health, Brown University, Providence, RI, United States.ORCID http://orcid.org/0000-0003-0964-5895
Marga HutchesonDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, United States.ORCID http://orcid.org/0000-0002-0564-8012
Richard CrosbyCollege of Public Health, University of Kentucky, Lexington, KY, United States.ORCID http://orcid.org/0000-0003-0920-1864
Deirdre BurkeDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, United States.ORCID http://orcid.org/0000-0002-3965-2757
Leandro MenaJohn D Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States.ORCID http://orcid.org/0000-0001-8994-6457
Amy NunnSchool of Public Health, Brown University, Providence, RI, United States.ORCID http://orcid.org/0000-0001-8115-0390
Tufts University · USBrown University · USMississippi State Department of Health · USRhode Island Department of Health · USUniversity of Kentucky · USUniversity of Mississippi Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
UCLA Implementation Science and Substance Use Research and Education (ISSURE) ProgramR25DA035692 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIMOTHY W FONG, GAIL E. WYATT · 2013 to 2026
$3.9M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
PrEP uptake, adherence & retention for African American MSM in MississippiR34MH109371 · NIMH · BROWN UNIVERSITY · PI CHAN, PHILIP ANDREW, MENA, LEANDRO ANTONIO · 2016 to 2018
$736k
Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
EXPERTISE AND DISCOURSE PROCESSING IN LATER ADULTHOODF31MH010937 · NIMH · UNIVERSITY OF NEW HAMPSHIRE · PI MILLER, LISA SOEDERBERG · 1994 to 1996
–
NIAID NIH HHS K23 AI096923NIAID NIH HHS P30 AI042853NIDA NIH HHS R25 DA035692NIDA NIH HHS R25 DA037190NIDA NIH HHS T32 DA013911NIMH NIH HHS F31 MH010937NIMH NIH HHS R25 MH083620NIMH NIH HHS R34 MH109371
6 · The paper itself

Abstract

backgroundIn recent years, more than half of new HIV infections in the United States occur among African Americans in the Southeastern United States. Spatial epidemiological analyses can inform public health responses in the Deep South by identifying HIV hotspots and community-level factors associated with clustering.

objectiveThe goal of this study was to identify and characterize HIV clusters in Mississippi through analysis of state-level HIV surveillance data.

methodsWe used a combination of spatial epidemiology and statistical modeling to identify and characterize HIV hotspots in Mississippi census tracts (n=658) from 2008 to 2014. We conducted spatial analyses of all HIV infections, infections among men who have sex with men (MSM), and infections among African Americans. Multivariable logistic regression analyses identified community-level sociodemographic factors associated with HIV hotspots considering all cases.

resultsThere were HIV hotspots for the entire population, MSM, and African American MSM identified in the Mississippi Delta region, Southern Mississippi, and in greater Jackson, including surrounding rural counties (P<.05). In multivariable models for all HIV cases, HIV hotspots were significantly more likely to include urban census tracts (adjusted odds ratio [AOR] 2.01, 95% CI 1.20-3.37) and census tracts that had a higher proportion of African Americans (AOR 3.85, 95% CI 2.23-6.65). The HIV hotspots were less likely to include census tracts with residents who had less than a high school education (AOR 0.95, 95% CI 0.92-0.98), census tracts with residents belonging to two or more racial/ethnic groups (AOR 0.46, 95% CI 0.30-0.70), and census tracts that had a higher percentage of the population living below the poverty level (AOR 0.51, 95% CI 0.28-0.92).

conclusionsWe used spatial epidemiology and statistical modeling to identify and characterize HIV hotspots for the general population, MSM, and African Americans. HIV clusters concentrated in Jackson and the Mississippi Delta. African American race and urban location were positively associated with clusters, whereas having less than a high school education and having a higher percentage of the population living below the poverty level were negatively associated with clusters. Spatial epidemiological analyses can inform implementation science and public health response strategies, including improved HIV testing, targeted prevention and risk reduction education, and tailored preexposure prophylaxis to address HIV disparities in the South.

Indexed as

HIVHIV screeningHIV treatmenthotspotsracial disparitiessocial determinants of health

Identifiers

PMID29615383
PMCPMC5904450
OpenAlexW2796035354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.