Evidence map›Paper›PMID 42330091›Full record

ArticlePLoS neglected tropical diseases2026

Epidemiological characteristics and importation patterns of imported dengue fever in southwest border regions of China.

Jiaxin Hao, Yong Shen, Huakun Xu, Fuying Guo, Dongsheng Ren, Tian Ma, Shanshan Song, Ruifang Song, Noksrikeaw Treenate, Qing Zhen and 3 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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

13 authors.

Jiaxin HaoSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Yong ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Huakun XuXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong, Yunnan, China.
Fuying GuoThe People's Hospital of Lincang, Lincang, Yunnan, China.
Dongsheng RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Tian MaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Shanshan SongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Ruifang SongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Noksrikeaw TreenateSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Qing ZhenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Zhe WangGeneral Administration Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Tiejun ShuiYunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0003-3302-2428
Xiangyu YanSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-1496-0358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever is a global public health issue of international concern. The southwestern border regions of China (Yunnan Province) are an important gateway for imported dengue fever cases in China. This study aims to investigate the importation patterns of imported dengue cases in Yunnan Province to support global dengue prevention efforts. This study examined imported dengue cases in Southwestern border regions of China, comparing actual and predicted cases via a counterfactual model under COVID-19 measures. Social network analysis was used to identify the importation pattern. From 2012 to 2023, 6,205 imported dengue cases were reported, making up 20.2%. The main sources were Southeast Asian countries: Myanmar (86.6%), Laos (5.8%), and Cambodia (4.9%). During the COVID-19 pandemic, imported cases dropped dramatically when borders closed, with predicted case counts being approximately 16.2-fold, 315.3-fold, and 12.3-fold higher than observed counts from 2020 to 2022, respectively, reflecting the sharp reduction in cross-border mobility during this period. In 2023, observed cases exceeded predictions by 45.0%. The cumulative social network identified three transmission communities centered around Kunming and Xishuangbanna in China, and Myanmar. The community centered in Myanmar had a bridging closeness centrality of 3.67, mainly connecting to Chinese border cities like Dehong (3.7) and Lincang (3.7). The Xishuangbanna community had a centrality of 3.4, primarily linking to Laos (3.4). The Kunming community had the highest centrality at 4.4, connecting mainly to non-border countries including Thailand (4.0), Cambodia (4.3) and Malaysia (2.8). Imported dengue cases in China's southwest border regions exhibit a dual-center pattern: land-border cases cluster in cities adjacent to Myanmar and Laos, while air-border cases concentrate in Kunming. Future efforts should enhance port monitoring and cross-border cooperation.

Indexed as

Communicable Diseases, ImportedDengueCambodiaChinaCOVID-19HumansLaosMyanmarTravel

Identifiers

PMID42330091
PMCPMC13336463

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Registered trials

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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.