Jonas Brock
Contact
Helmholtz Centre for Environmental Research - UFZ
Department of Ecological Modelling
Ecological Epidemiology (EcoEpi)
Permoserstr. 15
04318 Leipzig
Germany
Tel.: +49 341 235-1716
jonas.brock@ufz.de

Research
I am a PhD Student within the Ecological Epidemiology project group at Helmholtz Center for Environmental Research. In the framework of my dissertation I am developing a stochastic individual-based simulation model to study the dynamics of the spread of Infectious Bovine Rhinotracheitis (IBR) within cattle populations in Ireland. IBR is a highly contagious, infectious respiratory disease that is caused by Bovine Herpesvirus-1 (BHV-1). The disease is reflected in several clinical signs and can lead to long-term ill-health and even death. While many countries in the EU have successfully eradicated BHV-1, Ireland is still making efforts to eradicate the virus, thereby suffering from severe economic losses. In my research I aim to give decision-makers valuable insights into the risk and economic consequences of IBR and to assess the effectiveness of various control strategies (e.g. vaccination campaigns). My research project is greatly supported and funded by Animal Health Ireland (AHI), a world-class non-for-profit organization that provides knowledge and coordination to establish effective control programmes for non-regulated diseases of livestock.My research interests are:
- quantitative epidemiology
- epidemiological modeling
- data science challenges
- machine-learning techniques
- algorithm automation
Publications
- 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
full text (doi) - 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
full text (doi) - 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
full text (doi) - 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
full text (doi)
CV
Apr. 2018 - current | PhD student at Helmholtz Centre for Environmental Research |
Apr. 2018 - current | Scientific associate at Animal Health Ireland |
Oct. 2015 - Mar. 2018 |
M.Sc. in Geoinformatics at Friedrich Schiller University Thesis: Assessing the effects of DEM products on statistical and machine-learning models of landslide susceptibility |
Oct. 2012 - Sep. 2015 |
B.Sc. in geographical Sciences Thesis: Fluvial morphological investigations in the upper Krom Antonies Valley, South Africa |