Evidence map›Paper›PMID 41446516›Full record

ArticleFrontiers in public health2025

Spatial patterns and socio-environmental determinants of gonorrhea incidence in China.

Ke Hu, Xingjin Yang, Yu Cai, Chaojie Li, Xing Zhang, Di Xiao, Mingyang Yu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ke Hu *Xiamen Haicang Hospital, Xiamen, Fujian, China.
Xingjin Yang *QianDongNanZhou Center for Disease Control and Prevention, Guizhou, China.
Yu Cai *Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, China.
Chaojie LiXingtai Center for Disease Control and Prevention, Xingtai, Hebei, China.
Xing ZhangNanjing Lishui Dongping Street Health Center, Nanjing, Jiangsu, China.
Di XiaoCommunity Health Service Center of Jiuxian Tongliang District, Chongqing, China.
Mingyang YuFuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gonorrhea is a major sexually transmitted infection in China, showing distinct regional clustering and spatial heterogeneity. Understanding its geographical distribution and influencing factors is crucial for targeted prevention. Methods: We analyzed 2022 gonorrhea incidence across 31 Chinese provinces using both traditional and spatial statistical approaches, including descriptive statistics, spatial autocorrelation, multiple linear regression (MLR), and spatial error models (SEM). Factors from five categories-economic, demographic, environmental, educational, and healthcare-related-were examined. The Geodetector method was additionally used to assess factor contributions and interactions. Results: Three key findings emerged: (1) Significant regional disparities in gonorrhea incidence were observed, with high-high clusters detected in southern provinces and low-low clusters in northern regions.; (2) SEM outperformed MLR, confirming stronger effects of illiteracy rate, bed utilization rate, sex ratio, and PM Conclusion: These results support spatially tailored intervention strategies that integrate sociodemographic and environmental factors for effective gonorrhea prevention.

Indexed as

GonorrheaAdolescentAdultChinaFemaleHumansIncidenceMaleSocioeconomic FactorsSpatial AnalysisGeodetectorgonorrhea incidencemultiple linear regressionspatial autocorrelationspatial error model

Identifiers

PMID41446516
PMCPMC12722431

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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.