Modeling mumps incidence in China: spatiotemporal clusters and evolving risk factors (2005-2020).

ABSTRACT:

Background

Mumps remains a major public health challenge in China, exhibiting distinct seasonal peaks in spring and notable spatial heterogeneity in incidence patterns. These spatiotemporal characteristics necessitate advanced analytical methods to identify driving factors and inform targeted intervention strategies.

Methods

We integrated space-time scanning statistics and geographically and temporally weighted regression (GTWR) to analyze mumps incidence across China (2005-2020). This approach overcomes the limitations of traditional methods by simultaneously assessing economic development, education level, population structure, and healthcare resources factors.

Results

National incidence exhibited a fluctuating decline from 27.60 (2005) to 10.09 per 100,000 (2020),

SUBMITTER: Hu K 

PROVIDER: S-EPMC12576999 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature