Evidence map›Paper›PMID 40937345›Full record

ArticleChina CDC weekly2025

Wastewater-Based Monitoring of Dengue Fever at Community Level - Guangzhou City, Guangdong Province, China, May 2024.

Yu Ma, Bo Zhou, Wenzhe Su, Wenhui Liu, Chanjuan Qu, Yutian Miao, Chun Chen, Mengmeng Ma, Bofeng Dai, Huiwen Wu and 2 more

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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

12 authors.

Yu Ma *Guangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Bo Zhou *Weiming Environmental Molecular Diagnostics (Changshu) Co., Ltd., Changshu City, Jiangsu Province, China.
Wenzhe SuGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Wenhui LiuGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Chanjuan QuWeiming Environmental Molecular Diagnostics (Changshu) Co., Ltd., Changshu City, Jiangsu Province, China.
Yutian MiaoGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Chun ChenGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Mengmeng MaGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Bofeng DaiGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Huiwen WuWeiming Environmental Molecular Diagnostics (Changshu) Co., Ltd., Changshu City, Jiangsu Province, China.
Xiqing LiCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Zhoubin ZhangGuangzhou Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional dengue surveillance operates reactively, frequently lagging behind viral transmission patterns and thereby impeding timely public health responses. Wastewater-based epidemiology (WBE) presents significant potential for proactive early warning systems. This study sought to implement and validate the first community-level WBE system for dengue during an active outbreak, evaluating its capacity to detect cryptic transmission and provide actionable intelligence for public health interventions. Methods: During a dengue virus serotype 1 (DENV-1) outbreak, we collected 618 wastewater grab samples from manholes within a 200-m radius of 8 reported cases, along with matched patient serum and urine samples. We systematically compared magnetic bead and polyethylene glycol (PEG) concentration methods for viral recovery efficiency. DENV-1 ribonucleic acid (RNA) was detected and quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Positive samples underwent genomic sequencing and phylogenetic analysis to confirm environmental signals and determine viral lineages. Results: The magnetic bead method demonstrated superior performance with a limit of detection of 10 copies/mL and was selected based on its higher recovery efficiency (59.7%). We successfully detected DENV-1 in 14 of 618 wastewater samples tested. Critically, a positive wastewater signal from one residential building preceded the clinical diagnosis of a new case within that same location by several hours. For a single patient, we successfully generated matched viral genomic sequences from serum, urine, and wastewater samples, providing definitive validation of the environmental signal's authenticity. Conclusions: Community-level wastewater surveillance represents a powerful and effective tool for dengue control programs. This approach provides actionable early warnings by detecting cryptic viral transmission before cases receive clinical identification. Such capabilities enable public health authorities to deploy preemptive, geographically-targeted interventions, including vector control measures, fundamentally improving both the speed and precision of outbreak responses while helping to mitigate disease spread.

Indexed as

community-level monitoringdengue feverwastewater monitoring

Identifiers

PMID40937345
PMCPMC12421656

What OpenQuestion holds

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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.