Evidence map›Paper›PMID 42859600›Full record

ArticleScience in One Health2026

Macroecological synchronization of vector-borne diseases under climate variability in Colombia.

Mario J Olivera, Julián Felipe Porras-Villamil, Màrius Vicent Fuentes

Abstract read
In one paragraph

Article 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
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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

3 authors.

Mario J OliveraGrupo de Parasitología, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Julián Felipe Porras-VillamilDepartment of Entomology, University of Kentucky, Lexington, KY 40546, USA.
Màrius Vicent FuentesParasites and Health Research Group, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de València, València 46010, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate variability may synchronize vector-borne diseases across distinct transmission systems. This study evaluates climatic coherence among malaria, cutaneous leishmaniasis, and Chagas disease in Colombia and projects changes in environmental suitability under future climate scenarios. Methods: National surveillance, climatic, environmental, and socioeconomic data from 1980 to 2025 were analyzed using generalized additive models, distributed lag nonlinear models, and wavelet coherence. Annual series were used for interannual analyses, whereas monthly epidemiological and climatic series were used to evaluate delayed associations. Ecological niche models for selected vector species were projected to 2035 under three Coupled Model Intercomparison Project Phase 6 (CMIP6) climate scenarios. Results: El Niño-Southern Oscillation (ENSO) was associated with temperature, precipitation, and relative humidity anomalies. Incorporating ENSO variability improved model performance for malaria and cutaneous leishmaniasis beyond models based only on local climatic predictors. Delayed climatic responses differed among diseases; the most robust association was observed for malaria, with a 1 °C increase in temperature anomaly associated with 28.3% higher incidence over 3-8 months (relative risk [RR] = 1.28; 95% confidence interval [ Conclusion: ENSO was associated with macroecological synchronization across transmission systems, although climatic responses differed among diseases. Future projections indicate spatial reorganization rather than uniform expansion, supporting integrated, climate-informed surveillance in areas of overlapping environmental suitability.

Indexed as

Chagas diseaseClimate changeColombiaCutaneous leishmaniasisEl Niño–Southern oscillationMalaria

Identifiers

PMID42859600
PMCPMC13652968

What Socratic 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 Socratic graph.