ArticleBMC public health2025
Epidemiological characteristics and socioeconomic factors of sexually transmitted infections in China during 2002-2021.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- prevalence of syphilis among pregnant women in China: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2026Pooled it
- Analysis of the spatio-temporal pattern and evolutionary trends of syphilis at township level in Xining City, Qinghai Province, China from 2008 to 2024.Scientific reports · 2026Article
- Spatial Clusters of Condyloma Acuminata and the Regional Risk Factors in South Korea: Bayesian Spatial Regression Analysis.JMIR public health and surveillance · 2025Article
- Divergent trends of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), syphilis, and gonorrhea in China: a national age-period-cohort analysis, 2006-2020.Frontiers in public health · 2025Article
- Quality and content analysis of syphilis-related short videos on Douyin (TikTok): A cross-sectional study.Digital healthArticle
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Authors and funding
9 authors.
Funding
Abstract
backgroundSexually transmitted infections (STIs), including HIV, gonorrhea, and syphilis, pose significant public health challenges globally. In China, rising STI incidences are associated with rapid urbanization and changing sexual behaviors. This study aims to analyze the trends and socioeconomic factors of these three STIs in China.
methodsIncidence data for HIV, gonorrhea, and syphilis from 31 provinces (2002-2021) were obtained from the China Hygiene and Health Statistics Yearbook. JoinPoint regression was used to assess trends, hotspot analysis to identify spatial clusters, global principal component analysis (GPCA) to reduce data dimensionality, and a panel fixed-effects model (FEM) to identify influential factors.
resultsThe annual average percentage changes (AAPCs) in incidence were 20.68% for HIV, - 2.37% for gonorrhea, and 11.55% for syphilis. Hotspot analysis revealed persistent HIV clusters in western provinces, gonorrhea clusters in the eastern coastal and parts of central provinces, and expanding syphilis clusters from western and central provinces to the entire country. GPCA extracted three components, explaining 83% of the overall variance. PA1 includes factors such as nighttime light data (NLD) and population density (PD). PA2 includes passenger volume (PAX), the working-age population aged 15-64 (P
conclusionThis study demonstrates temporal and spatial variations in STI epidemiology in China from 2002 to 2021, reflecting socioeconomic development disparities. The findings highlight the need for geographically and socioeconomically tailored interventions to improve STI control strategies.
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