Ontology highlight
ABSTRACT: Introduction
Gonorrhea represents a major global public health challenge, demonstrating significant spatiotemporal heterogeneity across China. Therefore, spatiotemporal analytical approaches are required to better understand gonorrhea incidence patterns.Methods
Employing an innovative methodological framework that combines spatiotemporal scan statistics with Geographically and Temporally Weighted Regression (GTWR), this study systematically examines gonorrhea incidence dynamics across mainland China from 2003 to 2022, with particular focus on exploring the impacts of healthcare resources, economic development, education levels, and demographic structure on gonorrhea incidence.Results
Our comprehensive analysis reveals three key findings: First, while national incide
SUBMITTER: Hu K
PROVIDER: S-EPMC12833961 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature