Dr. Jonas Brock
Germany
Dr. Jonas Brock specializes in epidemiological modelling and data science, focusing on the strategic planning of virus control programs in the agricultural sector. He graduated from Friedrich Schiller University Jena, Germany, in 2021 with a PhD in Computer Science. His research focuses on the intersection of epidemiological modelling and medicine, with the goal of gaining a better understanding of health system resilience. His work combines data science, public health, and social science approaches to create comprehensive resilience strategies for health systems.
Professional experience
Following his PhD, Dr. Brock continued to work for the agricultural sector. In this capacity, he focuses on strategic planning and implementation of virus control programs, utilizing his expertise in epidemiological modelling to inform decision-making processes. His work has been recognized with several awards, including the Konrad-Bögel-Award for his contributions to veterinary epidemiology and public health. At the University Hospital Jena, Dr. Brock´s professional experience reflects a commitment to enhancing health system resilience through innovative research and practical applications in epidemiological modelling.
Education
Dr. Brock received a PhD in Computer Science from the Friedrich-Schiller-University Jena, Germany.
Germany
- Place of affiliation
Health System Resilience
- Stress & interruptions on health systems
Epidemiological Modelling
- Decision-support, Policy decision making
- Lang, S., Brock, J., Russwurm, S., Groesdonk, H., Laubinger, R., Bauer, M., Dickmann, P. (2023): Die Lehren aus der Pandemie. Eine Analyse der Verlegungen nach dem Kleeblattkonzept zeigt, welche Patienten von der Verlegung profitiert haben und welche Maßnahmen darüber hinaus sinnvoll waren. Deutsches Ärzteblatt 120(46) Krankenhäuser: Die Lehren aus der Pandemie (aerzteblatt.de)
- Brock, J., Lange, M., Tratalos, J.A., Meunier, N., Guelbenzu-Gonzalo, M., More, S.J., Thulke, H.-H., Graham, D.A. (2022):
The Irish cattle population structured by enterprise type: overview, trade & trends
Irish Vet. J. 75 , art. 6 10.1186/s13620-022-00212-x - Nolzen, H., Brugger, K., Reichold, A., Brock, J., Lange, M., Thulke, H.-H. (2022):
Model-based extrapolation of ecological systems under future climate scenarios: The example of Ixodes ricinus ticks
PLOS One 17 (4), e0267196 10.1371/journal.pone.0267196 - Brock, J. (2021):
Decision support using advanced modelling concepts in Epidemiology: enhancing future bovine herpesvirus type 1 eradication in Ireland
Dissertation, Friedrich-Schiller Universität Jena
172 pp. 10.22032/dbt.50175 - Brock, J., Lange, M., Tratalos, J.A., More, S.J., Graham, D.A., Guelbenzu-Gonzalo, M., Thulke, H.-H. (2021):
Combining expert knowledge and machine-learning to classify herd types in livestock systems
Sci. Rep. 11 , art. 2989 10.1038/s41598-021-82373-3 - Brock, J., Lange, M., Tratalos, J.A., More, S.J., Guelbenzu-Gonzalo, M., Graham, D.A., Thulke, H.-H. (2021):
A large-scale epidemiological model of BoHV-1 spread in the Irish cattle population to support decision-making in conformity with the European Animal Health Law
Prev. Vet. Med. 192 , art. 105375 10.1016/j.prevetmed.2021.105375 - Brock, J., Lange, M., Tratalos, J., Guelbenzu-Gonzalo, M., More, S.J., Graham, D., Thulke, H.-H. (2021):
A large-scale epidemiological model of the Irish cattle population to support decision-making in the context of BoHV-1 control
In: van Schaik, G., Brennan, M. (eds.)
Proceedings of the SVEPM annual meeting held online, 24-26 March 2021
Society for Veterinary Epidemiology and Preventive Medicine, p. 115 - 127 - Brock, J., Lange, M., Guelbenzu-Gonzalo, M., Meunier, N., Vaz, A.M., Tratalos, J.A., Dittrich, P., Gunn, M., More, S.J., Graham, D., Thulke, H.-H. (2020):
Epidemiology of age-dependent prevalence of Bovine Herpes Virus Type 1 (BoHV-1) in dairy herds with and without vaccination
Vet. Res. 51 , art. 124 10.1186/s13567-020-00842-5 - Brock, J., Lange, M., More, S.J., Graham, D., Thulke, H.-H. (2020):
Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future
Prev. Vet. Med. 174 , art. 104814 10.1016/j.prevetmed.2019.104814 - Brock, J., Schratz, P., Petschko, H., Muenchow, J., Micu, M., Brenning, A. (2020):
The performance of landslide susceptibility models critically depends on the quality of digital elevations models
Geomat. Nat. Hazards Risk 11 (1), 1075 - 1092 10.1080/19475705.2020.1776403 - Muenchow, J., Dieker, P., Böttcher, T., Brock, J., Didenko, G., Fremout, T., Jakubka, D., Jentsch, A., Nüst, D., Richter, M., Rodríguez, E.F., Rodríguez, R.A., Rollenbeck, R., Zarsosa, P.S., Schratz, P., Brenning, A. (2020):
Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru
Ecography 43 (12), 1878 - 1890 10.1111/ecog.05091
