Evidence map›Paper›PMID 39838306›Full record

ArticleBMC infectious diseases2025

Epidemiological and cluster characteristics of dengue fever in Yunnan Province, Southwestern China, 2013-2023.

Shu-Zhen Deng, Xiao-Yu Liu, Jian-Juan Su, Ling-Hui Xiang, Li-Tao Chang, Jun-Jie Zhu, Hai-Lin Zhang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

7 authors.

Shu-Zhen DengDepartment of School Health, Yunnan Center for Disease Control and Prevention, Xianghei Street, Kunming, Yunnan, 650022, China.
Xiao-Yu LiuDepartment of Epidemiology and Health Statistic, School of Public Health, Dali University, Dali, Yunnan, 671000, China.
Jian-Juan SuDepartment of Epidemiology and Health Statistic, School of Public Health, Dali University, Dali, Yunnan, 671000, China.
Ling-Hui XiangDepartment of Epidemiology and Health Statistic, Xiangya School of Public Health, Central South University, Changsha, China.
Li-Tao ChangDepartment of School Health, Yunnan Center for Disease Control and Prevention, Xianghei Street, Kunming, Yunnan, 650022, China.
Jun-Jie ZhuDepartment of Epidemiology and Health Statistic, School of Public Health, Dali University, Dali, Yunnan, 671000, China. zhujunjie233@163.com.
Hai-Lin ZhangYunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, Yunnan, 671000, China. zhangHL715@163.com.

Funding

the Doctoral Research Fund Grants of Dali University KYBS2023011
6 · The paper itself

Abstract

backgroundYunnan Province, located in the southwestern part of China and neighboring endemic dengue regions of Southeast Asia, has experienced annual autochthonous outbreaks of dengue fever from 2013 to 2023. This study examines the epidemiological and spatiotemporal clustering characteristics of dengue within the province.

methodsDescriptive epidemiological methods were used to analyse outbreak characteristics. Excel 2019 and ArcGIS 10.3 software were used to establish a case database and for mapping. Spatial autocorrelation and spatio-temporal clustering analysis were employed to study the features of spatial clustering.

resultsFrom 2013 to 2023, 30,666 dengue cases were reported in Yunnan Province, of which 22,806 (74.37%) were indigenous and 7,860 (25.63%) were imported. Imported cases from Myanmar, Laos, and Vietnam were reported each year, with indigenous outbreaks occurring from June to December. The majority of cases occurred among young adults, mainly farmers, service workers, homemakers, and the unemployed. There was a significant temporal and spatial clustering of dengue incidence, with intense local clustering in the southwestern border areas of the province from July to November, particularly in Xishuangbanna, Dehong, Lincang, Pu'er, and Honghe prefectures.

conclusionAutochthonous outbreaks of dengue fever in Yunnan Province occurred predominantly in the border areas adjacent to Myanmar, Laos, and Vietnam. The largest outbreak in the province's history occurred in 2023, related to the increase in imported cases following the reopening of borders after the COVID-19 pandemic. Dengue fever is considered primarily an imported disease in Yunnan, emphasizing the need for enhanced control of cross-border transmission and mosquito vector management.

Indexed as

DengueDisease OutbreaksAdolescentAdultAgedChildChild, PreschoolChinaCluster AnalysisDengue VirusFemaleHumansIncidenceInfantMaleMiddle AgedAutochthonous outbreakCross-border spreadDengue feverEpidemiological characteristics

Identifiers

PMID39838306
PMCPMC11753091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.