Author

Mariken M. de Wit

Wageningen University & ResearchORCID 0000-0002-5758-636XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 3 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Organism:multiple species· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Quirine A. ten BoschiD· 4 shared M.C.M. de JongiD· 3 shared Marion KoopmansiD· 2 shared Martha DellariD· 2 shared Reina S. SikkemaiD· 2 shared Chantal B. E. M. ReuskeniD· 1 shared Eline BoeleeiD· 1 shared Emmanuelle MüngeriD· 1 shared

Activity by Year

2022-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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4 shared papersEcology

Quirine A. ten BoschORCID

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4 papers

Recent·Most cited

EcologybioRxivPreprintMay 29, 2026

Quantifying circulation and antibody cross-reactivity for co-circulating flaviviruses: the case of Usutu and West Nile virus in blackbirds

Mariken M. de Wit, Nathanaël Hozé, M.C.M. de Jong…·Quirine A. ten Bosch

The paper quantifies antibody cross-reactivity between Usutu and West Nile viruses in blackbirds using serological data and a Bayesian model to improve serosurveillance interpretation.

DOI 10.64898/2026.05.28.728479

proteomicsstatistical model

𝕏 PostBluesky

EcologyScientific ReportsPeer-reviewedMar 5, 2026

Implications of future change scenarios for mosquito-borne disease transmission in the Netherlands

Mariken M. de Wit, Martha Dellar, Gertjan Geerling…·Quirine A. ten Bosch

The paper assesses future mosquito-borne disease risks in the Netherlands under different climate and land-use scenarios, finding increased outbreak sizes and growth rates for Usutu and West Nile viruses.

1 citation

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologyNature Ecology & EvolutionPeer-reviewedMar 3, 2026

Silent reservoirs are shaping the emergence of Usutu virus

Mariken M. de Wit, Gaël Beaunée, Martha Dellar…·Quirine A. ten Bosch

The paper uses Approximate Bayesian Computation to analyze USUTU virus transmission in wildlife, showing that multiple bird species, not just blackbirds, contribute to its spread.

8 citationstop 1%

multiple speciesstatistical model

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Systems BiologyPLoS Computational BiologyPeer-reviewedJul 22, 2022

Heterogeneity of Rift Valley fever virus transmission potential across livestock hosts, quantified through a model-based analysis of host viral load and vector infection

Hélène Cecilia, Roosmarie Vriens, Jeroen Kortekaas…·Quirine A. ten Bosch

22 citations

statistical model

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