Author

Inge M. G. A. Santman-Berends

Royal GD (Netherlands)ORCID 0000-0003-4628-8479Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Annika M. van Roon· 1 shared Arno‐Jan FeddemaiD· 1 shared Aurélien MadouasseiD· 1 shared Christine FourichoniD· 1 shared David A Graham· 1 shared Estelle C. C. ÅgreniD· 1 shared Frank HardersiD· 1 shared George John Gunn· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Annika M. van Roon

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2 papers

Recent·Most cited

ZoologyVeterinary MicrobiologyPeer-reviewedDec 31, 2024

Bluetongue virus serotype 12 in the Netherlands in 2024 - A BTV serotype reported in Europe for the first time

René van den Brom, Inge M. G. A. Santman-Berends, Mark G. van der Heijden…·Melle Holwerda

The paper reports the first detection of BTV-12 in the Netherlands in 2024, following the re-emergence of BTV-3 and highlights implications for surveillance and control strategies.

26 citationstop 1%

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BioinformaticsPeer Community JournalPeer-reviewedJan 7, 2022

A modelling framework for the prediction of the herd-level probability of infection from longitudinal data

Aurélien Madouasse, Mathilde Mercat, Annika M. van Roon…·Christine Fourichon

This paper presents a statistical model to predict herd-level infection probabilities from longitudinal data, applied to bovine viral diarrhoea virus control programs.

14 citations

statistical modelBayesian inference

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