Evidence map›Paper›PMID 38616951›Full record

ArticleSocial networks2022

Using geographical data and rolling statistics for diagnostics of respondent-driven sampling.

Brian Kim, Moses Ogwal, Enos Sande, Herbert Kiyingi, David Serwadda, Wolfgang Hladik

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social networks, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 2 countries.

Brian KimJoint Program in Survey Methodology, University of Maryland, 1218 LeFrak Hall, 7251 Preinkert Dr., College Park, MD 20742, USA.
Moses OgwalMakerere University School of Public Health, Old Mulago Hill Road, New Mulago Hospital Complex, P.O. Box 7072, Kampala, Uganda.
Enos SandeCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA.
Herbert KiyingiCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA.
David SerwaddaMakerere University School of Public Health, Old Mulago Hill Road, New Mulago Hospital Complex, P.O. Box 7072, Kampala, Uganda.
Wolfgang HladikCenters for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA.
Centers for Disease Control and Prevention · USMulago Hospital · UGUniversity of Maryland, College Park · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Respondent-driven sampling (RDS) is commonly used to sample from key populations without a sampling frame since traditional methods are unable to efficiently survey them. Surveying these populations is often desirable to inform service delivery, assess effectiveness of programs, and determine prevalence of diseases. However, there are concerns about how RDS works in practice due to its many assumptions. To assess some of these assumptions, we develop diagnostics using geographical data and demonstrate their utility by identifying lack of convergence and characterizing RDS reach in surveys conducted among female sex workers and men who have sex with men in Kampala, Uganda.

Indexed as

Acquired immune deficiency syndromeConvex HullKey populationsNetwork sampling

Identifiers

PMID38616951
PMCPMC11009932
OpenAlexW3036608927

What OpenQuestion holds

Textmetadata
LicenceTDM
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.