Evidence map›Paper›PMID 42218327›Full record

ArticleCommunications medicine2026

Tropical oceans drive variability in soil moisture and malaria in Malawi.

M T Elling, K B Karnauskas, M Kowalcyk, D Mategula, J Chirombo, B Livneh, R S McCann, A G Buchwald

Abstract read
In one paragraph

Article in Communications medicine, 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
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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

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

8 authors.

M T EllingDepartment of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA. max.elling@colorado.edu.ORCID http://orcid.org/0000-0001-6091-809X
K B KarnauskasDepartment of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA.
M KowalcykCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
D MategulaMalawi Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
J ChiromboMalawi Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
B LivnehCooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0001-5445-2473
R S McCannCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-2195-6461
A G BuchwaldCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-6503-6459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransmission of malaria, one of the world's deadliest infectious diseases, is highly sensitive to environmental conditions. Understanding the large-scale climate patterns that influence these conditions is crucial for developing forecasting tools, which could be especially valuable for prevention in low-resource nations, like Malawi. Previous research has often focused on statistical correlations between local weather and disease trends, but has rarely explored the underlying physical climate mechanisms.

methodsWe analyze malaria incidence alongside observational, reanalysis, and modeled climate data to identify the mechanistic link between climate and malaria variability in Malawi.

resultsHere, we show that two distinct ocean-based climate patterns drive interannual malaria variability in Malawi via their influence on local climatic and surface hydrologic conditions. A warm tropical Atlantic leads to wet conditions in Malawi and increased malaria cases. In contrast, a warm Indian Ocean drives hot, dry conditions and reduces malaria cases. We find that soil moisture is the crucial link between these remote climate drivers and local disease dynamics, and looking ahead, future climate change is expected to reduce soil moisture levels in the country by 2100 (magnitude uncertain), which could reshape transmission patterns.

conclusionsBy identifying these climate drivers and the physical processes that link them to disease outbreaks, our work provides a foundation for building physically grounded, reliable early warning systems.

Identifiers

PMID42218327
PMCPMC13518860

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.