Evidence map›Paper›PMID 42682518›Full record

SynthesisFrontiers in cellular and infection microbiology2026

Dengue outbreaks in China during 2005-2023: a systematic analysis.

Kun Peng, Xiaodan Huang, Pengxiang Huang, Hongli Zhao, Xiao Pan, Nuo Xu, Hao Yin, Yingchun Yang, Chenxin Han, Maoqing Gong and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kun PengDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Xiaodan HuangDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Pengxiang HuangShandong Center for Disease Control and Prevention, Jinan, Shandong, China.
Hongli ZhaoDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Xiao PanDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Nuo XuDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Hao YinDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Yingchun YangDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Chenxin HanDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Maoqing GongDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.
Hongmei LiuDigestive Disease Hospital of Shandong First Medical University, Jining, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Dengue fever is a major global public health concern. While China has not yet established stable, local transmission of the disease, imported cases frequently lead to local dengue epidemics throughout the year. This paper aims to outline the characteristics of dengue outbreaks in China between 2005 and 2023. Methods: We collected literature on dengue in China from various databases and extracted relevant data for analysis. This data included patients' sociodemographic characteristics, serotype composition, and clinical manifestations, which we then summarized and compared, evaluating the relationship between dengue virus (DENV) serotypes and clinical manifestations, and analyzing the monthly and regional distribution patterns of dengue fever cases based on case data obtained from the China Public Science and Health Data Center (CPC). Results: In the included studies, the ratio of male to female was approximately 1:1, The age group with the highest proportion of dengue patients is those aged 30 to 39. Their occupations were predominantly business service, and the predominant serotype of the infection was DENV-1, followed by DENV-2. The major clinical signs and symptoms in dengue patients were fever, asthenia, and headache. Patients infected with DENV-1, 3 were associated with some specific clinical phenotypes. Dengue cases typically peak between September and October each year. Although these cases are primarily concentrated in the southern regions of China, there is a noticeable trend of increasing incidence in northern areas over time. Conclusions: This study offers an in-depth examination of the molecular epidemiology, clinical characteristics, and the seasonal and geographic distribution of dengue cases in China from 2005 to 2023. The findings provide valuable insights for future research on dengue epidemics.

Indexed as

DengueDengue VirusDisease OutbreaksAdultChinaFemaleHumansIncidenceMaleSeasonsSerogroupChinaclinical featuresdengueepidemiologyspatiotemporal distribution

Identifiers

PMID42682518
PMCPMC13529551

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.