Evidence map›Paper›PMID 41994133›Full record

ArticleResearch square2026

Impact of climate-induced human migration on dengue exposure risk in Africa.

Desalew Meseret Moges, Jenicca Poongavanan, Graeme Dor, Monika Moir, Cheryl Baxter, Sarah Sparrow, Tulio de Oliveira, Moritz U G Kraemer, Houriiyah Tegally

Abstract readPreprint
In one paragraph

Article in Research square, 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

9 authors.

Desalew Meseret MogesCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0002-7864-5904
Jenicca PoongavananCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Graeme DorCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0001-9036-9933
Monika MoirCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0003-1095-1910
Cheryl BaxterCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0002-6033-7655
Sarah SparrowOxford e-Research Centre, Engineering Science, University of Oxford, United Kingdom.ORCID 0000-0002-1802-6909
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Moritz U G KraemerDepartment of Biology, University of Oxford, United Kingdom.ORCID 0000-0001-8838-7147
Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.

Funding

Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
FIC NIH HHS U54 TW012041Wellcome Trust
6 · The paper itself

Abstract

Climate-induced human migration has become an important factor influencing infectious disease dynamics in Africa. Using continent-wide projections of climate-induced migration and population change through 2050 under multiple socio-economic and emissions scenarios, we assess how cross-border and internal movements shift over space and time, and how these shifts reshape population exposure to dengue. By 2050, climate impacts could force roughly 1.1 million people to move across national borders and nearly 75 million to relocate internally. Cross-border migration is projected to occur mainly within Southern Africa, while internal migration is expected to concentrate people in cities, border regions, and areas with favorable climates. These mobility patterns are estimated to increase dengue exposure by shifting populations into areas where transmission is already established. By mid-century, cross-border migration alone could expose up to 340,000 additional people across the continent. Our findings highlight the need to integrate mobility dynamics into early public health planning and preparedness efforts.

Identifiers

PMID41994133
PMCPMC13082158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.