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KEMP Francoise

Main Referenced Co-authors
MAGNI, Stefano  (6)
PROVERBIO, Daniele  (6)
AALTO, Atte  (5)
GONCALVES, Jorge  (5)
SKUPIN, Alexander  (5)
Main Referenced Keywords
COVID-19 (3); Bayesian Inference (1); Covid-19 (1); Covid19 (1); Critical transitions (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB) (3)
Main Referenced Disciplines
Life sciences: Multidisciplinary, general & others (3)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (2)
Engineering, computing & technology: Multidisciplinary, general & others (1)
Immunology & infectious disease (1)
Human geography & demography (1)

Publications (total 7)

The most downloaded
278 downloads
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 https://hdl.handle.net/10993/47508

The most cited

22 citations (WOS)

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 https://hdl.handle.net/10993/48628

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:

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