Evidence map›Paper›PMID 42169817›Full record

ArticleiScience2026

Assessing the impact of flood duration on dengue burden across 108 countries.

Qiao Liu, Shimo Zhang, Min Liu, Jue Liu

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Qiao LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Shimo ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue burden is exacerbated by climate change and environmental disasters such as floods. To quantify this association, we modeled age-standardized dengue incidence rates across 108 countries from 2000 to 2021 using quasi-Poisson regression, adjusting for socioeconomic, health system, and meteorological covariates. Over this period, the global age-standardized incidence rate of dengue increased significantly to 752.04 per 100,000 population. We found that each additional day in mean flood duration was associated with a 0.37% increase in dengue incidence. Stronger associations occurred in the Region of the Americas, high-middle sociodemographic index regions, and among older adults. These findings highlight the importance of incorporating flood risk into dengue early warning systems, disaster preparedness, and vector control strategies to mitigate the public health impacts of climate-related disasters.

Indexed as

Environmental healthEnvironmental scienceHealth sciencesPublic health

Identifiers

PMID42169817
PMCPMC13187571

What Socratic 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 Socratic graph.