Evidence map›Paper›PMID 40376049›Full record

ArticleChina CDC weekly2025

Dengue Fever Screening Awareness and Capacity in Healthcare Facilities - Guangzhou City, Guangdong Province, China, 2024.

Haipeng Luo, Lei Luo, Wenhui Liu, Pengzhe Qin, Zhoubin Zhang

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Haipeng Luo *School of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Lei Luo *Department of Communicable Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Wenhui Liu *Department of Communicable Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Pengzhe QinDepartment of Communicable Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Zhoubin ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Dengue fever represents a significant public health challenge in tropical and subtropical regions globally, including China. The effective management of dengue cases depends critically on accurate and timely clinical and laboratory diagnosis, supported by well-coordinated healthcare services. What is added by this report?: This survey revealed that healthcare facilities still needed to enhance dengue case screening and public health education initiatives. Polymerase chain reaction testing capacity was severely insufficient and inconsistent reimbursement rates across health insurance types and institutional levels. Notably, significant variations in dengue diagnostic awareness existed across hospital levels, departments, ages, and professional titles ( What are the implications for public health practice?: Healthcare facilities must maintain heightened vigilance during dengue fever outbreaks. Robust screening and diagnostic capabilities are essential for early case detection and management. Understanding and addressing identified deficiencies and their contributing factors can strengthen the response capabilities while offering valuable lessons for other regions.

Indexed as

Dengue feverDiagnostic capacityScreening awareness

Identifiers

PMID40376049
PMCPMC12075511

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.