Evidence map›Paper›PMID 42205863›Full record

ReviewScience in One Health2026

"Climatic determinants" and simple thresholds for dengue early warning in Vietnam: a One Health perspective.

Nguyen Khoi Quan, Andrew W Taylor-Robinson

Abstract readReview
In one paragraph

Review in Science in One Health, 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

2 authors.

Nguyen Khoi QuanCollege of Health Sciences, VinUniversity, Hanoi 100000, Viet Nam.
Andrew W Taylor-RobinsonCollege of Health Sciences, VinUniversity, Hanoi 100000, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, dengue transmission in Vietnam has transitioned from predictable seasonality to climate-driven instability due to rising temperatures, urbanization, and hydrological extremes, among other factors. Traditional early warning systems based on case averages are becoming increasingly unreliable because of climate non-stationarity, resulting in both false alarms and missed warnings. This perspective summarizes available research on temperature, drought, rainfall extremes, diurnal temperature range, heatwaves, and El Niño anomalies, highlighting biologically-based thresholds that have been observed to precede outbreaks. We advocate for a pragmatic, hybrid early warning system that combines probabilistic national models with operationally simple meteorological triggers adapted to localized conditions. Integrating One Health factors, such as water storage practices, urban livestock habitats, and climate-sensitive vector control technologies, can facilitate optimal responses. This climate-informed, trigger-based approach helps to provide a realistic dengue control and prevention strategy that navigates low-cost and "no regrets" interventions in the face of accelerated environmental change.

Indexed as

Climate changeDengueEarly warning systemEl Niño–Southern oscillationOne Health surveillanceThreshold-based predictionVietnam

Identifiers

PMID42205863
PMCPMC13202247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.