Author

Jonas Wallin

Lund UniversityORCID 0000-0003-0381-6593Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:host-pathogen & immune response· 1 Approach:mixed model· 1 Organism:multiple species· 1

Frequent Co-Authors

Henrik SjödiniD· 2 shared Joacim RocklöviD· 2 shared Pratik SinghiD· 2 shared David SiegmundiD· 1 shared Jan C. SemenzaiD· 1 shared Julian HeideckeiD· 1 shared Małgorzata BogdaniD· 1 shared Marina TreskovaiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMolecular Biology

Henrik SjödinORCID

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3 papers

Recent·Most cited

Molecular BiologyCommunications Earth & EnvironmentPeer-reviewedApr 9, 2025

A climate and population dependent diffusion model forecasts the spread of Aedes Albopictus mosquitoes in Europe

Sandra Barman, Jan C. Semenza, Pratik Singh…·Jonas Wallin

The paper develops a climate and population dependent diffusion model to predict the spread of Aedes albopictus mosquitoes in Europe, showing high accuracy in forecasting new populations.

15 citationstop 1%

statistical model

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EcologyPLoS Computational BiologyPeer-reviewedMar 31, 2025

Disclosing temperature sensitivity of West Nile virus transmission: novel computational approaches to mosquito-pathogen trait responses

Julian Heidecke, Jonas Wallin, Peter Fransson…·Joacim Rocklöv

This study estimates temperature sensitivity of West Nile virus transmission using Bayesian hierarchical models and experimental data on mosquito-pathogen traits.

18 citationstop 1%

multiple speciesstatistical model

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GeneticsbioRxivPreprintOct 31, 2019

Ghost QTL and hotspots in experimental crosses - novel solution by mixed model with nonzero mean

Piotr Szulc, Jonas Wallin, Małgorzata Bogdan…·David Siegmund

The paper addresses ghost QTL and hotspots in QTL mapping by introducing an extended mixed model with nonzero mean random effects to improve detection accuracy.

DOI 10.1101/825562

GWAS summary statisticsmixed model

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