| Decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures context FM Grosso, AM Presanis, K Kunzmann, C Jackson, A Corbella, ... BMC Public Health 21, 1-9, 2021 | 15 | 2021 |
| Automatic Zig-Zag sampling in practice A Corbella, SEF Spencer, GO Roberts Statistics and Computing 32 (6), 107, 2022 | 11 | 2022 |
| Risk factors associated with severe hospital burden of COVID-19 disease in Regione Lombardia: a cohort study AM Presanis, K Kunzmann, FM Grosso, CH Jackson, A Corbella, ... BMC Infectious Diseases 21, 1-16, 2021 | 11 | 2021 |
| Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study PJ Birrell, XS Zhang, A Corbella, E Van Leeuwen, N Panagiotopoulos, ... BMC Public Health 20, 1-11, 2020 | 10 | 2020 |
| Exploiting routinely collected severe case data to monitor and predict influenza outbreaks A Corbella, XS Zhang, PJ Birrell, N Boddington, RG Pebody, AM Presanis, ... BMC public health 18, 1-11, 2018 | 4 | 2018 |
| Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods A Corbella, AM Presanis, PJ Birrell, D De Angelis arXiv preprint arXiv:2204.08901, 2022 | 2 | 2022 |
| Risk factors for severe hospital burden during the first wave of COVID-19 disease in Regione Lombardia AM Presanis, K Kunzmann, FM Grosso, CH Jackson, A Corbella, ... Available at SSRN 3792155, 2021 | 2 | 2021 |
| Trends in outcomes following COVID-19 symptom onset in Milan: a cohort study CH Jackson, F Grosso, K Kunzmann, A Corbella, M Gramegna, M Tirani, ... BMJ open 12 (3), e054859, 2022 | 1 | 2022 |
| Correction to: decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures context FM Grosso, AM Presanis, K Kunzmann, C Jackson, A Corbella, ... BMC Public Health 21 (1), 2097, 2021 | 1 | 2021 |
| Risk Factors for Severe Hospital Burden During the First Wave of COVID-19 Disease in Regione Lombardia (preprint) AM Presanis, K Kunzmann, FM Grosso, CH Jackson, A Corbella, ... | 1 | 2021 |
| Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity A Corbella University of Cambridge, 2019 | 1 | 2019 |
| Alice Corbella, Anne M Presanis, Paul J Birrell and Daniela De Angelis's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 … A Corbella, AM Presanis, PJ Birrell, D De Angelis Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | | 2023 |
| Comparison of stochastic and deterministic models for gambiense sleeping sickness at different spatial scales: A health area analysis in the DRC CN Davis, RE Crump, SA Sutherland, SEF Spencer, A Corbella, ... medRxiv, 2023.08. 17.23294225, 2023 | | 2023 |
| The Lifebelt Particle Filter for robust estimation from low-valued count data A Corbella, TJ McKinley, PJ Birrell, AM Presanis, SEF Spencer, ... arXiv preprint arXiv:2212.04400, 2022 | | 2022 |
| Decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures context (preprint) FM Grosso, AM Presanis, K Kunzmann, C Jackson, A Corbella, ... | | 2021 |
| Curve Clustering for Brain Functional Activity and Synchronization G Bertarelli, A Corbella, J Di Iorio, A Gorshechnikova, M Scott Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018 | | 2018 |
| Appendix to the article Exploiting routinely collected severe case data to monitor and predict influenza outbreaks A Corbella, XS Zhang, PJ Birrell, N Boddington, AM Presanis, RG Pebody, ... | | 2017 |
| Monitoring and predicting influenza epidemics from routinely collected severe case data A Corbella, XS Zhang, PJ Birrell, N Boddington, AM Presanis, RG Pebody, ... arXiv preprint arXiv:1706.02527, 2017 | | 2017 |
Anne M PresanisMRC Biostatistics Unit, University of CambridgeVerified email at mrc-bsu.cam.ac.uk
