Evidence map›Paper›PMID 39937893›Full record

ArticleScience advances2025

Disentangling climate's dual role in dengue dynamics: A multiregion causal analysis study.

Olive R Cawiding, Saebom Jeon, Donnabel Tubera-Panes, Aurelio A de Los Reyes V, Jae Kyoung Kim

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Olive R CawidingDepartment of Mathematical Sciences, KAIST, Daejeon 34141, Republic of Korea.ORCID 0000-0002-0874-8553
Saebom JeonBiomedical Mathematics Group, Institute for Basic Science, Daejeon 34126, Republic of Korea.ORCID 0000-0002-2771-675X
Donnabel Tubera-PanesCity Epidemiology and Surveillance Unit, Health Services Office, Baguio City 2600, Philippines.ORCID 0000-0001-8055-0958
Aurelio A de Los Reyes VInstitute of Mathematics, University of the Philippines Diliman, Quezon City 1101, Philippines.ORCID 0000-0001-5418-4579
Jae Kyoung KimDepartment of Mathematical Sciences, KAIST, Daejeon 34141, Republic of Korea.ORCID 0000-0001-7842-2172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever poses major public health challenges, with climate change complicating control efforts. Yet, the full extent of climate change's impact on dengue remains elusive. To investigate this, we used an advanced causal inference method to 16 diverse climatic regions in the Philippines. This method is capable of detecting nonlinear and joint effects of temperature and rainfall to dengue incidence. We found that temperature consistently increased dengue incidence throughout all the regions, while rainfall effects differed depending on the variation in dry season length, a factor previously overlooked. Specifically, our results showed that regions with low variation in dry season length experience a negative impact of rainfall on dengue incidence likely due to strong flushing effect on mosquito habitats, while regions with high variation in dry season length experience a positive impact, likely due to increased mosquito breeding sites. Our findings emphasize the need for tailored prevention strategies based on local climate conditions, rather than a one-size-fits-all approach.

Indexed as

ClimateClimate ChangeDengueAedesAnimalsEcosystemHumansIncidenceMosquito VectorsPhilippinesRainSeasonsTemperature

Identifiers

PMID39937893
PMCPMC11818013

What OpenQuestion holds

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LicenceCC BY-NC
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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.