Evidence map›Paper›PMID 41958842›Full record

ArticleChina CDC weekly2026

Spatiotemporal Epidemiological Characteristics of Dengue Fever and Its Relationship with Meteorological Factors - Yunnan Province, China, 2012-2024.

Lihua Chen, Heng Shao, Dan Li, Ruiqi Ren, Wenqing Bai, Jibo He, Yihui Cao, Chao Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 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

8 authors.

Lihua Chen *Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Heng Shao *Department of Geriatrics, The First People's Hospital of Yunnan Province, Kunming City, Yunnan Province, China.
Dan LiPublic Health Emergency Center, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Ruiqi RenPublic Health Emergency Center, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Wenqing BaiPublic Health Emergency Center, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Jibo HeEpidemic Surveillance and Public Health Emergency Response Center, Yunnan Center for Disease Control and Prevention, Kunming City, Yunnan Province, China.
Yihui CaoEpidemic Surveillance and Public Health Emergency Response Center, Yunnan Center for Disease Control and Prevention, Kunming City, Yunnan Province, China.
Chao LiPublic Health Emergency Center, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Dengue fever (DF) is a major mosquito-borne disease in tropical and subtropical regions. Transmission shows seasonal and spatial patterns and is associated with meteorological factors, including temperature and precipitation. What is added by this report?: From 2012-2024, dengue fever in Yunnan Province showed seasonal peaks and significant spatial and spatiotemporal clusters, particularly in border prefectures. Temperature and precipitation were key drivers of dengue incidence. What are the implications for public health practice?: Integrating meteorological indicators into dengue surveillance and early warning systems may improve outbreak prevention and control in high-risk border areas.

Indexed as

dengue fevermeteorological factorsnegative binomial regressionspatiotemporal analysisYunnan

Identifiers

PMID41958842
PMCPMC13056548

What OpenQuestion holds

Textmetadata
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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.