Dr Sibylle Mohr

I am a research associate at the University of Glasgow and within EPIC I investigate disease risks associated with animal movements (Topic 2). Originally, I am a computational linguist (MSc.) and cognitive psychologist (PhD.) with a particular interest in network dynamics. Before I started to work in EPIC 2 (January 2014), I used to work as a researcher at the Institute of Neuroscience and Psychology, University of Glasgow, where I also completed my PhD in 2013.

My research relates to the spread and transmission of infectious diseases through social contact networks. In particular, I investigate the risks and epidemiological implications associated with livestock movements (sheep / cattle) by integrating dynamic social network analysis, statistics, and infectious disease modeling. In addition to this, I will investigate the efficiency and epidemiological benefits of new sheep vaccines for potential implementation into Scotland’s sheep scab control programs (Topic 4). I am also involved in the development of a modeling resilience plan, which outlines procedures to ensure that modeling resources developed within EPIC will be maintained and are ready to use during an outbreak (Topic 1). In EPIC 2, I performed risk analyses of the sheep movement networks in Scotland as well as investigating the impact of changed standstill restrictions on a potential FMD outbreak. During the avian influenza outbreak in East Yorkshire (November 2014), I was responsible for analysing the poultry contact data and for assessing the risk of infection for Scotland through this contact network.


Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault, Benjamin Bach, Rita Borgo, Min Chen, Jessica Enright, Hui Fang, Elif E. Firat, Euan Freeman, Tuna Gönen, Claire Harris, Radu Jianu, Nigel W. John, Saiful Khan, Andrew Lahiff, Robert S. Laramee, Louise Matthews, Sibylle Mohr, Phong H. Nguyen, Alma A. M. Rahat, Richard Reeve, Panagiotis D. Ritsos, Jonathan C. Roberts, Aidan Slingsby, Ben Swallow, Thomas Torsney-Weir, Cagatay Turkay, Robert Turner, Franck P. Vidal, Qiru Wang, Jo Wood and Kai Xu

FAIR data pipeline: provenance-driven data management for traceable scientific workflows. Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings, Jonathan Hollocombe, Bram Boskamp, Ryan Field, Dennis Reddyhoff, Kristian Zarebski, Antony Wilson, Bruno Viola, Martin Burke, Blair Archibald, Paul Bessell, Richard Blackwell, Lisa A. Boden, Alys Brett, Sam Brett, Ruth Dundas, Jessica Enright, Alejandra N. Gonzalez-Beltran, Claire Harris, Ian Hinder, Christopher David Hughes, Martin Knight, Vino Mano, Ciaran McMonagle, Dominic Mellor, Sibylle Mohr, Glenn Marion, Louise Matthews, Iain J. McKendrick, Christopher Mark Pooley, Thibaud Porphyre, Aaron Reeves, Edward Townsend, Robert Turner, Jeremy Walton and Richard Reeve

Exploiting Scanning Surveillance Data to Inform Future Strategies for the Control of Endemic Diseases: The Example of Sheep Scab. Frontiers in Veterinary Science 2021. Eilidh Geddes, Sibylle Mohr, Elizabeth Sian Mitchell, Sara Robertson, Anna M. Brzozowska, Stewart T. G. Burgess and Valentina Busin

Uptake of diagnostic tests by livestock farmers: a stochastic game theory approachS Mohr, R Beard, A Nisbet, S Burgess, R Reeve, M Denwood, T Porphyre, RN. Zadoks, L Matthews

Manipulation of contact network structure and the impact on foot-and-mouth disease transmission. S Mohr, M Deason, M Churakov, T Doherty, RR Kao

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