Evidence map›Paper›PMID 42616880›Full record

ArticleScience advances2026

Coupled Atlantic atmosphere-ocean variability modulates cutaneous leishmaniasis in North Africa, enabling long-lead seasonal forecasts.

Adrià San-José, Karim Aoun, Meryem Lemrani, Leonardo López, Idris Mhaidi, Aida Bouratbine, Richard Paul, Xavier Rodó

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

8 authors.

Adrià San-JoséClimate and Health RG, ISGlobal, Barcelona, Spain.ORCID 0000-0002-5988-4352
Karim AounLaboratory of Medical Parasitology, Biotechnology and Biomolecules, LR 20-IPT-06, Institut Pasteur de Tunis, University Tunis el Manar, Tunis, Tunisia.ORCID 0000-0001-6081-4266
Meryem LemraniLaboratory of Parasitology and Vector-Borne-Diseases, Institut Pasteur du Maroc, Casablanca, Morocco.
Leonardo LópezClimate and Health RG, ISGlobal, Barcelona, Spain.ORCID 0000-0002-5351-9899
Idris MhaidiLaboratory of Parasitology and Vector-Borne-Diseases, Institut Pasteur du Maroc, Casablanca, Morocco.ORCID 0009-0007-3659-6511
Aida BouratbineLaboratory of Medical Parasitology, Biotechnology and Biomolecules, LR 20-IPT-06, Institut Pasteur de Tunis, University Tunis el Manar, Tunis, Tunisia.ORCID 0000-0001-7049-7030
Richard PaulEcology and Emergence of Arthropod-borne Pathogens Unit, Institut Pasteur, Université Paris-Cité, Centre National de Recherche Scientifique (CNRS) UMR 2000, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE) USC 1510, Paris, France.ORCID 0000-0002-0665-5089
Xavier RodóClimate and Health RG, ISGlobal, Barcelona, Spain.ORCID 0000-0003-4843-6180

Funding

Wellcome Trust
6 · The paper itself

Abstract

Early warning systems for climate-driven diseases require predictors with sufficient lead time, a persistent challenge for many diseases and regions. While coupled atmosphere-ocean phenomena offer a potential solution, they remain largely underexploited in temperate zones. Here, we establish a multiscale connection between cutaneous leishmaniasis (CL) dynamics in North Africa, the North Atlantic Oscillation (NAO), and the Atlantic Multidecadal Variability (AMV). Beyond the NAO's influence on seasonal rainfall, we uncover low-frequency variability in the NAO-AMV system that modulates interannual rainfall patterns in North Africa, yielding multiyear periods of high and low CL activity. To quantify this predictability, we develop a unified transmission model applied across Morocco and Tunisia for both anthroponotic (

Indexed as

AtmosphereLeishmaniasis, CutaneousSeasonsAfrica, NorthernAnimalsAtlantic OceanClimateForecastingHumansLeishmania majorRainTemperature

Identifiers

PMID42616880
PMCPMC13488882

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.