Evidence map›Paper›PMID 41666268›Full record

ArticleEcology letters2026

Understanding Mosquito Vector Invasion Pathways: Synergistic Effects of Human Mobility, Climate and Natural Dispersal.

Marta Pardo-Araujo, Egor Kotov, David Alonso, Frederic Bartumeus

Abstract read
In one paragraph

Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Marta Pardo-AraujoCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain.ORCID https://orcid.org/0000-0002-0268-3939
Egor KotovMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.ORCID https://orcid.org/0000-0001-6690-5345
David AlonsoCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain.ORCID https://orcid.org/0000-0002-8888-1644
Frederic BartumeusCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain.ORCID https://orcid.org/0000-0001-6908-3797

Funding

Horizon 2020 Framework Programme 101086640Horizon 2020 Framework Programme 874735'la Caixa' Banking Foundation HR19-00336Spanish Research Ministry (MICIU) PID2021-127202NB-C21
6 · The paper itself

Abstract

Mosquito-borne diseases are rising globally, driven in part by the expanding range of invasive vector species. However, the mechanisms underlying their spread remain poorly understood, largely due to limited and inconsistent data. Here, we integrate high-resolution human mobility data with a thermo-biologically realistic metapopulation model to investigate the colonisation dynamics of the dengue vector, Aedes albopictus, using 20 years of invasion data from Spain. Our results reveal the dual role of humans: as architects of climate change, making local environments increasingly suitable, and as vehicles of dispersal, inadvertently transporting this vector across regions. The spread occurs through a fragmented human mobility network, while natural dispersal bridges gaps between connected areas, enabling faster and more continuous expansion. These findings underscore the importance of considering the synergistic effects of climate, human movement, and natural dispersal when forecasting future range expansions and designing coordinated, multi-scale vector control strategies in an era of rapid environmental change.

Indexed as

AedesAnimal DistributionClimateClimate ChangeIntroduced SpeciesMosquito VectorsAnimalsDengueHumansModels, BiologicalPopulation DynamicsSpainAedes albopictusdenguedisease ecologyhuman mobilityinvasive speciesmetapopulation modelsspatial ecologythermal biology

Identifiers

PMID41666268
PMCPMC12890209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.