ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1637288
Spatial Stratified Heterogeneity of Mumps Incidence in China: A Geodetector-based Analysis of Driving Factors
Provisionally accepted
- 1Xiamen Haicang Hospital, Xiamen, China
- 2Xingtai Center for Disease Control and Prevention, Xingtai, China
- 3QianDongNanZhou Center for Disease Control and Prevention, QianDongNanZhou, China
- 4Community Health Service Center of Jiuxian Tongliang District, Chongqing, China
- 5Nanjing Lishui Dongping Street Health Center, Nanjing, China
- 6Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
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Abstract: Background: China reports the highest number of mumps cases globally, with the disease demonstrating distinct spatial clustering and variability characteristics. Methods: This study employed descriptive statistics and spatial autocorrelation analysis to examine the spatial distribution characteristic and patterns of mumps across 31 Chinese provinces in 2020. Furthermore, based on the principle of spatial stratified heterogeneity, the Geodetector method was systematically applied to assess the influence intensity and interaction effects of economic development, population structure, education level, environmental conditions, and healthcare resource allocation on mumps incidence rate. Results: The findings revealed a distinct west-to-east decreasing trend of mumps incidence in China, demonstrating significant spatial autocorrelation primarily manifested as high-high clustering in western areas and low-low clustering in eastern regions. Among all influencing factors, the child dependency ratio showed the strongest association with mumps incidence, while healthcare resources exhibited relatively weaker effects. Notably, significant synergistic effects were observed among risk factors, with particularly prominent interaction between GDP per capita and illiteracy rate. Conclusion: This study provides critical evidence for region-specific mumps prevention strategies, highlighting the need for integrated control measures that consider multifactorial interactions to effectively contain mumps in China.
Keywords: Mumps incidence, spatial autocorrelation, spatial stratified heterogeneity, Geodetector, Multifactorial interactions
Received: 29 May 2025; Accepted: 29 Jul 2025.
Copyright: © 2025 Hu, Li, Yang, Xiao, Zhang and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mingyang Yu, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
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