Evidence map›Paper›PMID 25904346›Full record

ArticleDemography2015

Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

M Giovanna Merli, James Moody, Joshua Mendelsohn, Robin Gauthier

Erratum issuedAbstract read
In one paragraph

Article in Demography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

M Giovanna MerliDuke Population Research Institute, Sanford School of Public Policy, Department of Sociology and Duke Global Health Institute, Duke University, Box 90312, Durham, NC, 27708, USA, giovanna.merli@duke.edu.
James Moody
Joshua Mendelsohn
Robin Gauthier

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Models and Tools for Dynamic Health-Relevant Diffusion over Complex NetworksR01HD075712 · NICHD · DUKE UNIVERSITY · PI MOODY, JAMES, MUCHA, PETER JOHN · 2013 to 2018
$1.8M
Using Multiple Data Sources to Improve Respondent Driven Sampling EstimationR01HD068523 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2011 to 2014
$1.1M
Sexual Behavior, Sexual Networks and STDs in ChinaR21HD047521 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MERLI, GIOVANNA M. · 2006 to 2007
$511k
NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD068523NICHD NIH HHS R01 HD075712NICHD NIH HHS R21 HD047521NICHD NIH HHS R21HD047521
6 · The paper itself

Abstract

China's HIV prevalence is low, mainly concentrated among female sex workers (FSWs), their clients, men who have sex with men, and the stable partners of members of these high-risk groups. We evaluate the contribution to the spread of HIV of China's regime of heterosexual relations, of the structure of heterosexual networks, and of the attributes of key population groups with simulations driven by data from a cross-sectional survey of egocentric sexual networks of the general population of Shanghai and from a concurrent respondent-driven sample of FSWs. We find that the heterosexual network generated by our empirically calibrated simulations has low levels of partner change, strong constraints on partner selection by age and education, and a very small connected core, mainly comprising FSWs and their clients and characterized by a fragile transmission structure. This network has a small HIV epidemic potential but is compatible with the transmission of bacterial sexually transmitted infections (STIs), such as syphilis, which are less susceptible to structural breaks in transmission of infection. Our results suggest that policies that force commercial sex underground could have an adverse effect on the spread of HIV and other STIs.

Indexed as

EpidemicsAcquired Immunodeficiency SyndromeAdolescentAdultChinaComputer SimulationCross-Sectional StudiesFemaleHeterosexualityHIV InfectionsHumansMaleMiddle AgedPrevalenceRisk FactorsSexual Behavior

Identifiers

PMID25904346
PMCPMC4466078

What OpenQuestion holds

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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.