Evidence map›Paper›PMID 29402964›Full record

ArticleScientific reports2018

Modeling the Intervention of HIV Transmission across Intertwined Key Populations.

Lu Zhong, Qingpeng Zhang, Xiaoming Li

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
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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

3 authors.

Lu ZhongDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, SAR, China.
Qingpeng ZhangDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, SAR, China. qingpeng.zhang@cityu.edu.hk.ORCID http://orcid.org/0000-0002-6819-0686
Xiaoming LiArnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HIV transmissions between multiple key populations make interventions difficult, particularly with multiple transmission behaviors. It remains unclear how significant the role of bridge individuals (who connect multiple communities) is in HIV transmission, and how to develop more effective intervention strategies targeting different transmission modes across key populations. In this research, we proposed a 2-layer social network framework to simulate the HIV transmissions across female sex workers (FSWs) and persons who inject drugs (PWID) through two behaviors: unprotected sex and needle-sharing. We proposed a set of intervention strategies based on the topological properties of individuals in the social network and estimated the efficacy of these strategies. Simulation studies demonstrated that bridge individuals played a significant role in HIV transmissions across the two networks. Prevention on such bridge individuals could help reduce both the scale and speed of HIV transmissions.

Indexed as

Models, StatisticalAdultEarly Medical InterventionFemaleHIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedModels, EducationalRisk-TakingSex WorkersSocial NetworkingSubstance Abuse, IntravenousUnsafe Sex

Identifiers

PMID29402964
PMCPMC5799486

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.