| COVID-19: Forecasting short term hospital needs in France C Massonnaud, J Roux, P Crépey medrxiv, 2020 | 97 | 2020 |
| COVID-19: One-month impact of the French lockdown on the epidemic burden J Roux, C Massonnaud, P Crépey MedRxiv, 2020 | 77* | 2020 |
| A modelling study investigating short and medium-term challenges for COVID-19 vaccination: From prioritisation to the relaxation of measures CT Kiem, CR Massonnaud, D Levy-Bruhl, C Poletto, V Colizza, P Bosetti, ... EClinicalMedicine 38, 101001, 2021 | 45 | 2021 |
| Word embedding for the French natural language in health care: comparative study E Dynomant, R Lelong, B Dahamna, C Massonnaud, G Kerdelhué, ... JMIR medical informatics 7 (3), e12310, 2019 | 27 | 2019 |
| Evaluating COVID-19 booster vaccination strategies in a partially vaccinated population: a modeling study CR Massonnaud, J Roux, V Colizza, P Crépey Vaccines 10 (3), 479, 2022 | 11 | 2022 |
| Impact of national and regional lockdowns on COVID-19 epidemic waves: Application to the 2020 spring wave in France J Roux, C Massonnaud, V Colizza, S Cauchemez, P Crépey medRxiv, 2021 | 6 | 2021 |
| Performance evaluation of three semantic expansions to query PubMed C Massonnaud, R Lelong, G Kerdelhué, E Lejeune, J Grosjean, N Griffon, ... Health Information & Libraries Journal 38 (2), 113-124, 2021 | 4 | 2021 |
| Evaluation des stratégies vaccinales COVID-19 avec un modèle mathématique populationnel C Kiem, C Massonnaud, D Levy-Bruhl, C Poletto, V Colizza, P Bosetti, ... Haute Autorité de Santé; Institut Pasteur Paris; Santé publique France, 2020 | 4 | 2020 |
| Identification of the best semantic expansion to query PubMed through automatic performance assessment of four search strategies on all medical subject heading descriptors … CR Massonnaud, G Kerdelhué, J Grosjean, R Lelong, N Griffon, ... JMIR medical informatics 8 (6), e12799, 2020 | 4 | 2020 |
| Mortalité dans la pemphigoïde bulleuse: méta-analyse combinant données individuelles et agrégées B Tedbirt, A Gillibert, C Massonnaud, P Joly Annales de Dermatologie et de Vénéréologie 147 (12), A140, 2020 | 1 | 2020 |
| Impact of Data-driven Methods for Causal Inference in Observational Studies: Simulations in Three Real-world Datasets T Pressat-Laffouilhère, C Massonnaud, H Bréard, M Lefebvre, B Falissard, ... | | 2021 |
| Modélisation mathématique de l'épidémie de COVID-19 en France, et estimation de l'impact de la vaccination C Massonnaud | | 2021 |
| COVID-19: prévoir les besoins à court terme des hôpitaux français C Massonnaud, J Roux, P Crépey | | 2020 |
| A model of Carbapenemase-Producing Enterobacteriaceae spreading in the French hospitals network J Roux, C Massonnaud, P Crépey European Journal of Public Health 29 (Supplement_4), ckz186. 531, 2019 | | 2019 |
| Master of Public Health C MASSONNAUD | | |
Pascal CrépeyEHESP, Université de Rennes, CNRS, IEP Rennes, Arènes - UMR 6051, RSMS – Inserm U 1309Verified email at ehesp.fr
