Evidence map›Paper›PMID 33095177›Full record

ArticleJournal of medical Internet research2020

A Data Visualization and Dissemination Resource to Support HIV Prevention and Care at the Local Level: Analysis and Uses of the AIDSVu Public Data Resource.

Patrick Sean Sullivan, Cory Woodyatt, Chelsea Koski, Elizabeth Pembleton, Pema McGuinness, Jennifer Taussig, Alexandra Ricca, Nicole Luisi, Eve Mokotoff, Nanette Benbow and 10 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 2 pooled it
–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

131 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.Prevention science : the official journal of the Society for Prevention Research · 2026
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71 more citing papers are in PubMed but not listed here.

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

20 authors.

Patrick Sean SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7728-0587
Cory WoodyattOregon Health & Science University, Portland, OR, United States.ORCID 0000-0002-1630-862X
Chelsea KoskiSignal Group, Washington, DC, United States.ORCID 0000-0002-6749-2156
Elizabeth PembletonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7523-3808
Pema McGuinnessGilead Sciences, Foster City, CA, United States.ORCID 0000-0002-7525-2363
Jennifer TaussigDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-4863-2640
Alexandra RiccaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-6904-5595
Nicole LuisiDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-4466-7141
Eve MokotoffHIV Counts, Ann Arbor, MI, United States.ORCID 0000-0002-9588-0471
Nanette BenbowFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-6715-1530
Amanda D CastelDepartment of Epidemiology, Milken Institute for Public Health, George Washington University, Washington, DC, United States.ORCID 0000-0002-9095-2413
Ann N DoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0001-9932-7422
Ronald O ValdiserriDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-4102-9884
Heather BradleyDepartment of Epidemiology, School of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0002-7667-4197
Chandni JaggiDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-5767-1249
Daniel O'FarrellMaimonides Medical Center, New York, NY, United States.ORCID 0000-0003-2728-1837
Rebecca FilipowiczDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-4794-3500
Aaron J SieglerDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0001-5553-7540
James CurranDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-3268-9688
Travis H SanchezDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-1133-4762

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

backgroundAIDSVu is a public resource for visualizing HIV surveillance data and other population-based information relevant to HIV prevention, care, policy, and impact assessment.

objectiveThe site, AIDSVu.org, aims to make data about the US HIV epidemic widely available, easily accessible, and locally relevant to inform public health decision making.

methodsAIDSVu develops visualizations, maps, and downloadable datasets using results from HIV surveillance systems, other population-based sources of information (eg, US Census and national probability surveys), and other data developed specifically for display and dissemination through the website (eg, pre-exposure prophylaxis [PrEP] prescriptions). Other types of content are developed to translate surveillance data into summarized content for diverse audiences using infographic panels, interactive maps, local and state fact sheets, and narrative blog posts.

resultsOver 10 years, AIDSVu.org has used an expanded number of data sources and has progressively provided HIV surveillance and related data at finer geographic levels, with current data resources providing HIV prevalence data down to the census tract level in many of the largest US cities. Data are available at the county level in 48 US states and at the ZIP Code level in more than 50 US cities. In 2019, over 500,000 unique users consumed AIDSVu data and resources, and HIV-related data and insights were disseminated through nearly 4,000,000 social media posts. Since AIDSVu's inception, at least 249 peer-reviewed publications have used AIDSVu data for analyses or referenced AIDSVu resources. Data uses have included targeting of HIV testing programs, identifying areas with inequitable PrEP uptake, including maps and data in academic and community grant applications, and strategically selecting locations for new HIV treatment and care facilities to serve high-need areas.

conclusionsSurveillance data should be actively used to guide and evaluate public health programs; AIDSVu translates high-quality, population-based data about the US HIV epidemic and makes that information available in formats that are not consistently available in surveillance reports. Bringing public health surveillance data to an online resource is a democratization of data, and presenting information about the HIV epidemic in more visual formats allows diverse stakeholders to engage with, understand, and use these important public health data to inform public health decision making.

Indexed as

Data VisualizationHIV InfectionsHumansPublic Health Surveillancedashboarddatadata dashboarddata visualizationhealth department datahealth policyHIVinfectious diseaseinfodemiologysurveillance

Identifiers

PMID33095177
PMCPMC7654504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.