Spatiotemporal clustering, socioeconomic drivers and policy evaluation of mumps in Hunan Province, China, 2015-2024.

Linlong Liang, Xiaoyan Liu, Fuqiang Liu, Lin Liu

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In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Linlong LiangDepartment of Pediatrics, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.

Xiaoyan LiuDepartment of Pediatrics, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.

Fuqiang LiuScience, Education and International Cooperation Department, Hunan Provincial Center for Disease Control and Prevention, Changsha, China.

Lin LiuDepartment of Pediatrics, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the spatiotemporal clustering of mumps in Hunan Province from 2015 to 2024 and its influencing factors and to explore the policy effect of adjusting the immunization schedule. Methods: Spatial autocorrelation, spatiotemporal clustering, geographically and temporally weighted regression (GTWR), and interrupted time series (ITS) analyses were performed on county-level mumps surveillance data obtained from Hunan Province for 2015-2024 to identify mumps clustering, quantify socioeconomic drivers and assess the two-dose mumps-containing vaccine (MuCV) policy impact. Results: In total 157,502 cases were reported, and 89.7% of patients were aged 0-14 years. The global Moran's Conclusions: Persistent hotspots in northeastern Hunan may be driven by per capita GDP and intercounty mobility. The two-dose policy reduced overall incidence but exacerbated regional inequalities.

Indexed as

Geographically and temporally weighted regressionInterrupted time seriesMumpsSpatiotemporal clustering

Identifiers

PMID42662080

DOI10.1016/j.pmedr.2026.103601

PMCPMC13519628

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.