Author

Jörn Martin Gethmann

Friedrich-Loeffler-InstitutORCID 0000-0001-7455-803XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Annett Rudovsky· 2 shared Carola Sauter-LouisiD· 2 shared Lisa RogolliD· 2 shared Martin BeeriD· 2 shared Nadine Kakerow· 2 shared Ronny Marquart· 2 shared Angele BreithauptiD· 1 shared Annika M. van Roon· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

Annett Rudovsky

Mutual co-authors in cluster

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintNov 13, 2026

Outbreaks of Newcastle Disease Virus Genotype VII.1.1 in Vaccinated Commercial Poultry, Germany, 2026

Hannes Bergmann, Annett Rudovsky, Christian Grund…·Carola Sauter-Louis

This study reports outbreaks of Newcastle Disease Virus genotype VII.1.1 in vaccinated poultry in Germany in 2026, highlighting the need for improved surveillance.

DOI 10.64898/2026.11.11.765530

plant (other)experimental assay

𝕏 PostBluesky

MicrobiologyScience AdvancesPeer-reviewedOct 9, 2026

Buffaloed in Brandenburg: Germany's first Brush with Foot-and-Mouth Disease after four Decades of Freedom

Michael Eschbaumer, Christoph Staubach, Florian Pfaff…·Martin Beer

This paper reports Germany's first Foot-and-Mouth Disease outbreak in 37 years, analyzing its origin, transmission potential, and control measures.

1 citationtop 3%

statistical model

𝕏 PostBluesky

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

𝕏 PostBluesky