Kemp, F. (2022). Modelling complex systems in the context of the COVID-19 pandemics [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52800 |
Proverbio, D., Kemp, F., Magni, S., Ogorzaly, L., Cauchie, H.-M., Goncalves, J., Skupin, A., & Aalto, A. (2022). Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis. Science of the Total Environment, 827, 154235. doi:10.1016/j.scitotenv.2022.154235 Peer Reviewed verified by ORBi |
Proverbio, D., Kemp, F., Magni, S., & Goncalves, J. (2022). Performance of early warning signals for disease re-emergence: A case study on COVID-19 data. PLoS Computational Biology, 18 (3), 1009958. doi:10.1371/journal.pcbi.1009958 Peer Reviewed verified by ORBi |
Burzynski, Machado, J., Aalto, A., Beine, M., Haas, T., Kemp, F., Magni, S., Mombaerts, L., Picard, P. M., Proverbio, D., Skupin, A., & Docquier, F. (December 2021). COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach. Economics and Human Biology, 43, 101051. doi:10.1016/j.ehb.2021.101051 Peer Reviewed verified by ORBi |
Kemp, F., Proverbio, D., Aalto, A., Mombaerts, L., Fouquier d'herouël, A., Husch, A., Ley, C., Goncalves, J., Skupin, A., & Magni, S. (2021). Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology. doi:10.1016/J.JTBI.2021.110874 Peer reviewed |
Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Skupin, A., Goncalves, J., Ameijeiras-Alonso, J., & Ley, C. (2021). Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks. PLoS ONE, 16 (5), 0252019. doi:10.1371/journal.pone.0252019 Peer Reviewed verified by ORBi |
Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Goncalves, J., Skupin, A., Ameijeiras-Alonso, J., & Ley, C. (2020). Assessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44206. doi:10.1101/2020.04.22.20075804doi: |