Dr Sibylle Mohr

  • Research Fellow (Infectious Disease Ecology)

telephone: 01413308434
email: Sibylle.Mohr@glasgow.ac.uk

Wolfson Link Building, Room 362, Inst of Biodiversity Anim Health, Glasgow, G61 1QH

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-9089-6327

Biography

I work as a mathematical modeller in EPIC (the Scottish Government’s Centre for Expertise in Animal Disease Outbreaks), which provides policymakers with rapid access to emergency scientific advice and analyses to prepare for and respond to emergency exotic and novel animal disease outbreaks.

Research interests

I am a computational linguistics / cognitive psychologist with a particular interest in network dynamics. 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 by integrating dynamic social network analysis, statistics, and modelling of behavioural change over time.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2013 | 2009
Number of items: 14.

2022

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

Sondag, M., Turkay, C., Xu, K., Matthews, L. , Mohr, S. and Archambault, D. (2022) Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum, 41(3), pp. 29-41. (doi: 10.1111/cgf.14520)

Jones, R. O., Geddes, E. , Mohr, S. , Bell, I. R., Ganser Brulisauer, A., Pritchard, C., Nisbet, A. J., Burgess, S. T.G. and Busin, V. (2022) Spatial and temporal analysis of sheep scab notifications in Scotland, 2014–2019. Veterinary Record, 190(8), e1488. (doi: 10.1002/vetr.1488) (PMID:35275416)

2021

Sondag, M., Turkay, C., Mohr, S. , Matthews, L. , Xu, K. and Archambault, D. (2021) What is R? A graph drawer’s perspective? In: 29th International Symposium on Graph Drawing and Network Visualization, Tübingen, Germany, 14-17 Sep 2021, pp. 431-433. ISBN 9783030929305 (doi: 10.1007/978-3-030-92931-2_29)

Geddes, E. , Mohr, S. , Mitchell, E. S., Robertson, S., Brzozowska, A. M., Burgess, S. T.G. and Busin, V. (2021) Exploiting scanning surveillance data to inform future strategies for the control of endemic diseases: the example of sheep scab. Frontiers in Veterinary Science, 8, 647711. (doi: 10.3389/fvets.2021.647711) (PMID:34336966) (PMCID:PMC8322841)

Geddes, E. , Busin, V. , Burgess, S. and Mohr, S. (2021) Sheep Scab: Assessing the Use of Commercial Diagnostic Data to Enhance Surveillance. BAVP Early Career Parasitologists Meeting, 29-30 Apr 2021.

2020

Geddes, E. , Mohr, S. , Mitchell, S., Robertson, S., Brzozowska, A., Burgess, S. and Busin, V. (2020) Exploiting Scanning Surveillance Data to Assess the Impact of Different Initiatives and Inform Future Strategies to Control Sheep Scab. International Congress on the Breeding of Sheep and Goats, Bonn, Germany, 15-16 Oct 2020. p. 129.

Geddes, E. , Mohr, S. , Mitchell, S. E., Robertson, S., Brzozowska, A. M., Burgess, S. and Busin, V. (2020) Exploiting Scanning Surveillance Data to Assess the Impact of Disease Control Initiatives and Inform Future Strategies to Control Endemic Diseases. The Example of Sheep Scab. 74th Annual AVTRW Conference, 14-15 September 2020.

Mohr, S. , Beard, R., Nisbet, A. J., Burgess, S. T.G., Reeve, R. , Denwood, M., Porphyre, T., Zadoks, R. N. and Matthews, L. (2020) Uptake of diagnostic tests by livestock farmers: a stochastic game theory approach. Frontiers in Veterinary Science, 7, 36. (doi: 10.3389/fvets.2020.00036) (PMID:32118060) (PMCID:PMC7012806)

2019

Chaters, G.L. et al. (2019) Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1776), 20180264. (doi: 10.1098/rstb.2018.0264) (PMID:31104601) (PMCID:PMC6558568)

2018

Mohr, S. , Deason, M., Churakov, M., Doherty, T. and Kao, R. R. (2018) Manipulation of contact network structure and the impact on foot-and-mouth disease transmission. Preventive Veterinary Medicine, 157, pp. 8-18. (doi: 10.1016/j.prevetmed.2018.05.006)

2013

Scheepers, C. , Mohr, S. , Fischer, M.H. and Roberts, A.M. (2013) Listening to limericks: a pupillometry investigation of perceivers’ expectancy. PLoS ONE, 8(9), e74986. (doi: 10.1371/journal.pone.0074986) (PMID:24086417) (PMCID:PMC3781151)

2009

Kreiner, H., Mohr, S. , Kessler, K. and Garrod, S. (2009) Can context affect gender processing? ERP differences between definitional and stereotypical gender. In: Alter, K., Horne, M., Lindgren, M. and von Koss Torkildsen, J. (eds.) Brain Talk: Discourse with and in the Brain. Series: Birgit Rausing Language Program Conference Series in Linguistics. Lund Universitet: Lund, Sweden, pp. 107-119. ISBN 9789163355615

This list was generated on Thu Apr 3 21:36:46 2025 BST.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 14.

Articles

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

Sondag, M., Turkay, C., Xu, K., Matthews, L. , Mohr, S. and Archambault, D. (2022) Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum, 41(3), pp. 29-41. (doi: 10.1111/cgf.14520)

Jones, R. O., Geddes, E. , Mohr, S. , Bell, I. R., Ganser Brulisauer, A., Pritchard, C., Nisbet, A. J., Burgess, S. T.G. and Busin, V. (2022) Spatial and temporal analysis of sheep scab notifications in Scotland, 2014–2019. Veterinary Record, 190(8), e1488. (doi: 10.1002/vetr.1488) (PMID:35275416)

Geddes, E. , Mohr, S. , Mitchell, E. S., Robertson, S., Brzozowska, A. M., Burgess, S. T.G. and Busin, V. (2021) Exploiting scanning surveillance data to inform future strategies for the control of endemic diseases: the example of sheep scab. Frontiers in Veterinary Science, 8, 647711. (doi: 10.3389/fvets.2021.647711) (PMID:34336966) (PMCID:PMC8322841)

Mohr, S. , Beard, R., Nisbet, A. J., Burgess, S. T.G., Reeve, R. , Denwood, M., Porphyre, T., Zadoks, R. N. and Matthews, L. (2020) Uptake of diagnostic tests by livestock farmers: a stochastic game theory approach. Frontiers in Veterinary Science, 7, 36. (doi: 10.3389/fvets.2020.00036) (PMID:32118060) (PMCID:PMC7012806)

Chaters, G.L. et al. (2019) Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1776), 20180264. (doi: 10.1098/rstb.2018.0264) (PMID:31104601) (PMCID:PMC6558568)

Mohr, S. , Deason, M., Churakov, M., Doherty, T. and Kao, R. R. (2018) Manipulation of contact network structure and the impact on foot-and-mouth disease transmission. Preventive Veterinary Medicine, 157, pp. 8-18. (doi: 10.1016/j.prevetmed.2018.05.006)

Scheepers, C. , Mohr, S. , Fischer, M.H. and Roberts, A.M. (2013) Listening to limericks: a pupillometry investigation of perceivers’ expectancy. PLoS ONE, 8(9), e74986. (doi: 10.1371/journal.pone.0074986) (PMID:24086417) (PMCID:PMC3781151)

Book Sections

Kreiner, H., Mohr, S. , Kessler, K. and Garrod, S. (2009) Can context affect gender processing? ERP differences between definitional and stereotypical gender. In: Alter, K., Horne, M., Lindgren, M. and von Koss Torkildsen, J. (eds.) Brain Talk: Discourse with and in the Brain. Series: Birgit Rausing Language Program Conference Series in Linguistics. Lund Universitet: Lund, Sweden, pp. 107-119. ISBN 9789163355615

Conference or Workshop Item

Geddes, E. , Busin, V. , Burgess, S. and Mohr, S. (2021) Sheep Scab: Assessing the Use of Commercial Diagnostic Data to Enhance Surveillance. BAVP Early Career Parasitologists Meeting, 29-30 Apr 2021.

Geddes, E. , Mohr, S. , Mitchell, S., Robertson, S., Brzozowska, A., Burgess, S. and Busin, V. (2020) Exploiting Scanning Surveillance Data to Assess the Impact of Different Initiatives and Inform Future Strategies to Control Sheep Scab. International Congress on the Breeding of Sheep and Goats, Bonn, Germany, 15-16 Oct 2020. p. 129.

Geddes, E. , Mohr, S. , Mitchell, S. E., Robertson, S., Brzozowska, A. M., Burgess, S. and Busin, V. (2020) Exploiting Scanning Surveillance Data to Assess the Impact of Disease Control Initiatives and Inform Future Strategies to Control Endemic Diseases. The Example of Sheep Scab. 74th Annual AVTRW Conference, 14-15 September 2020.

Conference Proceedings

Sondag, M., Turkay, C., Mohr, S. , Matthews, L. , Xu, K. and Archambault, D. (2021) What is R? A graph drawer’s perspective? In: 29th International Symposium on Graph Drawing and Network Visualization, Tübingen, Germany, 14-17 Sep 2021, pp. 431-433. ISBN 9783030929305 (doi: 10.1007/978-3-030-92931-2_29)

This list was generated on Thu Apr 3 21:36:46 2025 BST.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

  • Adapting the movenet toolkit for effective use of livestock movement data in Scottish and Danish veterinary public health practices.
    Engineering and Physical Sciences Research Council
    2024 - 2024
     
  • EPIC Centre of Expertise in Animal Disease Outbreaks 2022- 2025
    Scottish Government
    2022 - 2025
     

Research datasets

Jump to: 2019
Number of items: 1.

2019

Chaters, G., Johnson, P. , Cleaveland, S. , Crispell, J., De Glanville, W., Doherty, T., Matthews, L. , Mohr, S., Nyasebwa, O. M., Rossi, G., Salvador, L. , Swai, E. and Kao, R. (2019) Analysing livestock network data for infectious diseases control: an argument for routine data collection in emerging economies. [Data Collection]

This list was generated on Thu Apr 3 03:52:57 2025 BST.