Evidence map›Paper›PMID 21573127›Full record

ArticlePloS one2011

A spatial analysis of county-level variation in syphilis and gonorrhea in Guangdong Province, China.

Nicholas X Tan, Jane P Messina, Li-Gang Yang, Bin Yang, Michael Emch, Xiang-Sheng Chen, Myron S Cohen, Joseph D Tucker

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  5. Spatiotemporal analysis of 11 years ofThe Lancet regional health. Western Pacific · 2021
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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

8 authors at 4 institutions in 2 countries.

Nicholas X TanHarvard University, Cambridge, Massachusetts, United States of America.
Jane P Messina
Li-Gang Yang
Bin Yang
Michael Emch
Xiang-Sheng Chen
Myron S Cohen
Joseph D Tucker
University of North Carolina at Chapel Hill · USGuangdong Provincial Center for Disease Control and Prevention · CNHarvard University Press · USNational Center for AIDS/STD Control and Prevention,China CDC · CN

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
AIDS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW001039 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADIMORA, ADAORA A · 1998 to 2013
$9.9M
Partnership for Social Science Research on HIV/AIDS in ChinaR24HD056670 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENDERSON, GAIL E · 2007 to 2011
$1.9M
Syphilis social epidemiology in the People's Republic of ChinaK01TW008200 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUCKER, JOSEPH DAVID · 2010 to 2013
$527k
FIC NIH HHS 1K01TW008200-01A1FIC NIH HHS D43 TW001039FIC NIH HHS D43 TW01039FIC NIH HHS K01 TW008200NICHD NIH HHS R24 HD050924NICHD NIH HHS R24 HD056670NICHD NIH HHS R24 HD056670-01Wellcome Trust
6 · The paper itself

Abstract

backgroundSexually transmitted infections (STI) have made a resurgence in many rapidly developing regions of southern China, but there is little understanding of the social changes that contribute to this spatial distribution of STI. This study examines county-level socio-demographic characteristics associated with syphilis and gonorrhea in Guangdong Province. METHODS/PRINCIPAL

findingsThis study uses linear regression and spatial lag regression to determine county-level (n = 97) socio-demographic characteristics associated with a greater burden of syphilis, gonorrhea, and a combined syphilis/gonorrhea index. Data were obtained from the 2005 China Population Census and published public health data. A range of socio-demographic variables including gross domestic product, the Gender Empowerment Measure, standard of living, education level, migrant population and employment are examined. Reported syphilis and gonorrhea cases are disproportionately clustered in the Pearl River Delta, the central region of Guangdong Province. A higher fraction of employed men among the adult population, higher fraction of divorced men among the adult population, and higher standard of living (based on water availability and people per room) are significantly associated with higher STI cases across all three models. Gross domestic product and gender inequality measures are not significant predictors of reported STI in these models. CONCLUSIONS/SIGNIFICANCE: Although many ecological studies of STIs have found poverty to be associated with higher reported STI, this analysis found a greater number of reported syphilis cases in counties with a higher standard of living. Spatially targeted syphilis screening measures in regions with a higher standard of living may facilitate successful control efforts. This analysis also reinforces the importance of changing male sexual behaviors as part of a comprehensive response to syphilis control in China.

Indexed as

AdultChinaFemaleGeographyGonorrheaHumansMaleRegression AnalysisStatistics, NonparametricSyphilis

Identifiers

PMID21573127
PMCPMC3089632
OpenAlexW2050158294

What OpenQuestion holds

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LicenceCC BY
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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.