Wei Chang, Mengyuan Zheng, Yanxian Jiang, Gaowen Liu, Xiao Chen, Xue Wang, Yan Guo, Li Liu, Yue Feng, Xueshan Xia
{"title":"Genomic epidemiology reveals the origins and transmission dynamics of chikungunya virus in China.","authors":"Wei Chang, Mengyuan Zheng, Yanxian Jiang, Gaowen Liu, Xiao Chen, Xue Wang, Yan Guo, Li Liu, Yue Feng, Xueshan Xia","doi":"10.1186/s40249-026-01465-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The chikungunya virus (CHIKV) poses a significant public health threat in China, driven by travel-related introductions and local outbreaks. A comprehensive understanding of the spatiotemporal dynamics, viral genetic diversity, and origins of these outbreaks is imperative for surveillance and control measures. This study aimed to characterize the spatiotemporal dynamics of CHIKV in China and elucidate the evolutionary origins of outbreak lineages.</p><p><strong>Methods: </strong>A systematic collection of epidemiological data on CHIKV cases in China was conducted up to December 2025, resulting in the identification of 416 imported cases and 25,948 local cases. A comprehensive retrieval of all publicly available CHIKV genomes from China was conducted. The composition of viral lineages was determined by employing maximum likelihood phylogeny. Substitution rates were estimated, and time-scaled transmission clusters were generated using Bayesian evolutionary analysis. Discrete phylogeographic reconstruction was used to infer spatial diffusion pathways, with statistical support evaluated using Bayes Factors.</p><p><strong>Results: </strong>From 1987 to 2025, imported chikungunya cases in China mainly originated from Southeast Asia, especially Myanmar, and were accompanied by several major local outbreaks. Significant outbreaks were reported in Guangdong (2010 and 2025), Yunnan (2019), and Taiwan (2019), with the largest outbreak occurring in Guangdong in 2025 and involving 25,335 cases. Genomic analysis of 314 sequences revealed that the East/Central/South African lineage was the most prevalent, accounting for 92.0% of cases. This lineage includes the Indian Ocean (IOL) and Central African clades. The Asian lineage accounted for the remaining 8.0%. Bayesian analysis identified four independent outbreak clusters. Phylogeographic data supported the conclusion that there were multiple introductions. The IOL clusters spread from Africa and South Asia to Southeast Asia. The 2025 Guangdong outbreak cluster (Central African clade) suggests a possible association with introduction from Africa. The Asian lineage circulated persistently in Southeast Asia before entering Yunnan Province.</p><p><strong>Conclusions: </strong>CHIKV outbreaks in China are linked to imported cases, and outbreak lineages consistently match recent imports. The virus entered through various, geographically independent routes. These findings underscore the need for genomic-informed surveillance at key entry points and in high-risk regions to anticipate and prevent local epidemics.</p>","PeriodicalId":48820,"journal":{"name":"Infectious Diseases of Poverty","volume":"15 1","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13234983/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infectious Diseases of Poverty","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40249-026-01465-2","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The chikungunya virus (CHIKV) poses a significant public health threat in China, driven by travel-related introductions and local outbreaks. A comprehensive understanding of the spatiotemporal dynamics, viral genetic diversity, and origins of these outbreaks is imperative for surveillance and control measures. This study aimed to characterize the spatiotemporal dynamics of CHIKV in China and elucidate the evolutionary origins of outbreak lineages.
Methods: A systematic collection of epidemiological data on CHIKV cases in China was conducted up to December 2025, resulting in the identification of 416 imported cases and 25,948 local cases. A comprehensive retrieval of all publicly available CHIKV genomes from China was conducted. The composition of viral lineages was determined by employing maximum likelihood phylogeny. Substitution rates were estimated, and time-scaled transmission clusters were generated using Bayesian evolutionary analysis. Discrete phylogeographic reconstruction was used to infer spatial diffusion pathways, with statistical support evaluated using Bayes Factors.
Results: From 1987 to 2025, imported chikungunya cases in China mainly originated from Southeast Asia, especially Myanmar, and were accompanied by several major local outbreaks. Significant outbreaks were reported in Guangdong (2010 and 2025), Yunnan (2019), and Taiwan (2019), with the largest outbreak occurring in Guangdong in 2025 and involving 25,335 cases. Genomic analysis of 314 sequences revealed that the East/Central/South African lineage was the most prevalent, accounting for 92.0% of cases. This lineage includes the Indian Ocean (IOL) and Central African clades. The Asian lineage accounted for the remaining 8.0%. Bayesian analysis identified four independent outbreak clusters. Phylogeographic data supported the conclusion that there were multiple introductions. The IOL clusters spread from Africa and South Asia to Southeast Asia. The 2025 Guangdong outbreak cluster (Central African clade) suggests a possible association with introduction from Africa. The Asian lineage circulated persistently in Southeast Asia before entering Yunnan Province.
Conclusions: CHIKV outbreaks in China are linked to imported cases, and outbreak lineages consistently match recent imports. The virus entered through various, geographically independent routes. These findings underscore the need for genomic-informed surveillance at key entry points and in high-risk regions to anticipate and prevent local epidemics.
期刊介绍:
Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.