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Françoise Kemp
Françoise Kemp
Post-doctoral researcher
Verifisert e-postadresse på uni.lu - Startside
Tittel
Sitert av
Sitert av
År
Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
D Proverbio, F Kemp, S Magni, L Ogorzaly, HM Cauchie, J Gonçalves, ...
Science of the Total Environment 827, 154235, 2022
432022
Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden
F Kemp, D Proverbio, A Aalto, L Mombaerts, AF d’Hérouël, A Husch, ...
Journal of Theoretical Biology 530, 110874, 2021
402021
Performance of early warning signals for disease re-emergence: A case study on COVID-19 data
D Proverbio, F Kemp, S Magni, J Gonçalves
PLOS Computational Biology 18 (3), e1009958, 2022
262022
Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks
D Proverbio, F Kemp, S Magni, A Husch, A Aalto, L Mombaerts, A Skupin, ...
PloS one 16 (5), e0252019, 2021
202021
COVID-19 crisis management in Luxembourg: insights from an epidemionomic approach
M Burzyński, J Machado, A Aalto, M Beine, J Goncalves, T Haas, F Kemp, ...
Economics & Human Biology 43, 101051, 2021
182021
Machine Learning-Assisted Classification of Paraffin-Embedded Brain Tumors with Raman Spectroscopy
GG Klamminger, L Mombaerts, F Kemp, F Jelke, K Klein, R Slimani, ...
Brain Sciences 14 (4), 301, 2024
12024
Early warning of SARS-CoV-2 infection
D Proverbio, F Kemp, J Gonçalves
Features, Transmission, Detection, and Case Studies in COVID-19, 13-24, 2024
12024
CoWWAn: Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
D Proverbio, F Kemp, S Magni, L Ogorzaly, HM Cauchie, J Gonçalves, ...
medRxiv, 2021.10. 15.21265059, 2021
12021
Covid-19 crisis management in Luxembourg: Insights from an epidemionomic approach
J Machado, A Aalto, M Beine, T Haas, F Kemp, S Magni, L Mombaerts, ...
Economics and Human Biology 43, 2021
12021
Modelling complex systems in the context of the COVID-19 pandemics
F KEMP
Unilu-University of Luxembourg, Luxembourg, 2022
2022
Supplementary Material for: Performance of early warning signals for disease re-emergence: a case study on COVID-19 data
D Proverbio, F Kemp, S Magni, J Gonçalves
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Artikler 1–11