Evidence map›Paper›PMID 42345382›Full record

ArticleEmerging microbes & infections2026

Spatiotemporal dynamics of the unprecedented chikungunya outbreak in Guangdong, China.

Hengcong Liu, Wen Zheng, Edward C Holmes, Weifeng Shi

Abstract read
In one paragraph

Article in Emerging microbes & infections, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hengcong LiuShanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Wen ZhengShanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Edward C HolmesSchool of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia.
Weifeng ShiShanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2025, Guangdong province, China, experienced an unprecedented autochthonous chikungunya outbreak associated with a cluster of imported cases. We analyzed weekly city-level surveillance data and found that the outbreak exhibited a distinct two-peak pattern, with an initial outbreak in Foshan city followed by a larger outbreak in the neighbouring city of Jiangmen, together contributing more than 80% of the 23,464 confirmed cases reported in Guangdong. Space-time analysis identified five significant clusters, including two single-city hotspots corresponding to Foshan (July 20-August 16) and Jiangmen (September 14-October 18), suggesting a possible spatial shift in epidemic hotspots over time. In addition, we analyzed daily district-level surveillance data from Foshan and Jiangmen and fitted exponential models to the declining phase of the epidemic. The estimated decay rates were -0.118 in Foshan and -0.142 in Jiangmen, corresponding to epidemic half-lives of 5.87 and 4.88 days, respectively. Overall, our study characterizes the spatiotemporal dynamics of the largest chikungunya outbreak documented in China to date and underscores the importance of strengthening surveillance of mosquito-borne viruses given their increasing transmission risk and complex transmission dynamics.

Indexed as

Chikungunya FeverChikungunya virusDisease OutbreaksAnimalsChinaHumansSpatio-Temporal AnalysisChikungunyaexponential modelGuangdongspace-time analysisspatiotemporal dynamics

Identifiers

PMID42345382
PMCPMC13360506

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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.