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Peer reviewedOpen accessChikungunyaCOVID-19

Epidemiological characteristics and transmission dynamics of the early stage Chikungunya fever outbreak in Foshan City, Guangdong Province, China in 2025

Infectious Diseases of Poverty·

Meng Zhang, Yihong Li, Xiqing Huang, Man Liu, Siyang Jiang, Biao Zeng, Luxiang Ouyang, Jianhua Huang, Bing Mai, Qihua Guan, Jiazhi Zeng, Muying Fu, Bingu Zhuo, Yawen Liu, Qin Zeng, Naling Zhu, Tao Wang, Xiaojun Huang, Yimin Pan, Mingji Cheng, Penghui Jia, Xiaofang Peng, Jinhua Duan, Baisheng Li, Jianfeng He, Yanping Zhang, Lei Zhou, Min Kang, Jianpeng Xiao, Zefeng Yang, Yan Li

DOI
10.1186/s40249-025-01364-y
PMID
40936090
PMCID
PMC12424219
OpenAlex
W4414159390
Study type
Journal article
Publisher
Springer Science and Business Media LLC
Article type
journal-article
Integrity
current

Why this research matters now

The findings describe groups, locations, transmission estimates, and reporting delays that may be relevant to outbreak characterization and response planning in the reported Foshan setting. The abstract does not establish how broadly these findings apply beyond this outbreak and location.

01

Structured evidence summary

Research question

The study examined the epidemiological patterns and transmission dynamics of the early 2025 chikungunya fever outbreak in Foshan, Guangdong, including demographic, spatial, temporal, reporting-delay, and estimated reproduction-number characteristics.

Study design

This was an observational outbreak analysis using reported chikungunya fever case data from Foshan between July 8 and July 26, 2025. The analysis included demographic and spatiotemporal descriptions, incidence calculations, reporting-delay comparisons, spatial autocorrelation, and maximum-likelihood estimation of R0, with comparison to a 2010 outbreak in Dongguan.

Population and setting

The study covered 4,754 locally reported cases in Foshan City, Guangdong Province, China, during the early stage of the 2025 outbreak. Case information came from the National Notifiable Infectious Disease Reporting System.

Main findings

The highest reported incidence was among people aged 65 years or older, at 116.57 per 100,000 population. Cases initially detected in Shunde District expanded to other Foshan districts, with statistically significant township-level spatial clustering. The estimated R0 was 16.3 (95% CI 15.0-17.5), and the median onset-to-report interval declined from 4 days to 1 day after response measures were introduced; the abstract reports this temporal change but does not establish that the measures caused it.

Public-health relevance

The findings describe groups, locations, transmission estimates, and reporting delays that may be relevant to outbreak characterization and response planning in the reported Foshan setting. The abstract does not establish how broadly these findings apply beyond this outbreak and location.

Important limitations

The supplied abstract does not state explicit study limitations. This summary is limited to the supplied single-article abstract and metadata; the original paper is required for decision-grade assessment of case ascertainment, representativeness, missing data, analytic assumptions, and the comparison with the 2010 outbreak.

GIDS interpretation

The article is discoverable as a peer-reviewed 2025 journal report concerning chikungunya in China, with links to outbreak investigation, transmission dynamics, and surveillance topics. These classifications provide context for retrieval only and do not connect the article to a live surveillance signal or confirm surveillance data.

02

Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

03

Evidence relationships

This article has 14 auditable classifier relationships to diseases, places, topics, and study design.

about diseaseabout diseaseaddresses topicaddresses topicaddresses topichas pathogen typestudied instudied population settingstudies pathogenstudies pathogenstudies populationstudies populationstudies populationuses study design