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

The findings underscore the need for regionally tailored prevention strategies and precision interventions accounting for local socioeconomic contexts. This study provides a methodological framework for spatiotemporal disease surveillance and evidence-based policy-making to reduce mumps transmission in China.

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Publication Details

Journal
BMC Public Health
Published
2025-10-31
DOI
https://doi.org/10.1186/s12889-025-24992-3
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Shuo‐Ming Ou, Xing Zhang, Ke Hu, Chaojie Li et al.
BMC Public Health
Virology and Viral Diseases
article

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

Shuo‐Ming Ou, Xing Zhang, Ke Hu, Chaojie Li, Mingyang Yu, Xingjin Yang, Di Xiao
article en

Abstract

The findings underscore the need for regionally tailored prevention strategies and precision interventions accounting for local socioeconomic contexts. This study provides a methodological framework for spatiotemporal disease surveillance and evidence-based policy-making to reduce mumps transmission in China.

BMC Public HealthVol. 25(1)
Nanjing Health and Health Commission (CN), Guizhou Aerospace Power Science & Tech (China) (CN), Zhengzhou Central Hospital (CN), Community Health Center (US), Xiamen Chang Gung Hospital (CN), Qiannan Normal College For Nationalities (CN)
Openalex Percentile: Top 58%
Virology and Viral Diseases
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