Dengue outbreaks in China during 2005-2023: a systematic analysis
Frontiers in Cellular and Infection Microbiology·
- DOI
- 10.3389/fcimb.2026.1920586
- PMID
- —
- PMCID
- —
- OpenAlex
- W7203691873
- Study type
- Journal article
- Publisher
- Frontiers Media SA
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Although China has not established stable local dengue transmission, imported cases frequently trigger local epidemics year-round. The findings regarding serotype distribution, clinical patterns, and geographic expansion provide insights for future dengue surveillance and outbreak response.
Structured evidence summary
Research question
The study aimed to characterize dengue outbreaks in China between 2005 and 2023, focusing on molecular epidemiology, clinical features, and spatiotemporal distribution patterns.
Study design
This was a systematic analysis that collected and synthesized literature on dengue cases in China from multiple databases, supplemented with case data from the China Public Science and Health Data Center.
Population and setting
The study examined dengue patients in China reported between 2005 and 2023. The patient population had an approximately equal male-to-female ratio, with the highest proportion in the 30-39 age group and occupations predominantly in business services.
Main findings
DENV-1 was the predominant serotype, followed by DENV-2. Common clinical manifestations included fever, asthenia, and headache, with DENV-1 and DENV-3 infections associated with certain specific clinical phenotypes. Cases typically peaked in September and October and were concentrated in southern China, though northern regions showed increasing incidence over time.
Public-health relevance
Although China has not established stable local dengue transmission, imported cases frequently trigger local epidemics year-round. The findings regarding serotype distribution, clinical patterns, and geographic expansion provide insights for future dengue surveillance and outbreak response.
Important limitations
This summary relies on the supplied single-article abstract and metadata. Access to the full paper would be required for decision-grade interpretation of methodological details, statistical analyses, and completeness of the systematic review protocol.
GIDS interpretation
This article is discoverable through classifier links for dengue disease, China as the geographic focus, and transmission dynamics as a topic. These links support literature retrieval but do not indicate connection to a live surveillance signal or real-time outbreak detection system.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 6 auditable classifier relationships to diseases, places, topics, and study design.