| Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave N Banholzer, E Van Weenen, A Lison, A Cenedese, A Seeliger, ... PLoS one 16 (6), e0252827, 2021 | 113 | 2021 |
| Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic A Lison, N Banholzer, M Sharma, S Mindermann, HJT Unwin, S Mishra, ... The Lancet Public Health 8 (4), e311-e317, 2023 | 39 | 2023 |
| The methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review N Banholzer, A Lison, D Özcelik, T Stadler, S Feuerriegel, W Vach European Journal of Epidemiology, 1-22, 2022 | 36 | 2022 |
| estimateR: an R package to estimate and monitor the effective reproductive number J Scire, JS Huisman, A Grosu, DC Angst, A Lison, J Li, MH Maathuis, ... BMC bioinformatics 24 (1), 310, 2023 | 25 | 2023 |
| Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020 A Lison, J Persson, N Banholzer, S Feuerriegel Eurosurveillance 27 (10), 2100374, 2022 | 19 | 2022 |
| Comment on'A Literature Review and Meta-Analysis of the Effects of Lockdowns on COVID-19 Mortality' N Banholzer, A Lison, W Vach Available at SSRN 4032477, 2022 | 14 | 2022 |
| Best practices for estimating and reporting epidemiological delay distributions of infectious diseases K Charniga, SW Park, AR Akhmetzhanov, A Cori, J Dushoff, S Funk, ... PLoS computational biology 20 (10), e1012520, 2024 | 9* | 2024 |
| Epinowcast: Flexible hierarchical nowcasting S Abbott, A Lison, S Funk, C Pearson, H Gruson Zenodo, 2021 | 9 | 2021 |
| Generative Bayesian Modeling to Nowcast the Effective Reproduction Number from Line List Data with Missing Symptom Onset Dates S Abbott, J Huisman, T Stadler, A Lison 9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS O 15, 2023 | 8* | 2023 |
| A scalable risk-scoring system based on consumer-grade wearables for inpatients with COVID-19: statistical analysis and model development S Föll, A Lison, M Maritsch, K Klingberg, V Lehmann, T Züger, ... JMIR Formative Research 6 (6), e35717, 2022 | 4* | 2022 |
| Improving inference in wastewater-based epidemiology by modelling the statistical features of digital PCR A Lison, TR Julian, T Stadler bioRxiv, 2024.10. 14.618307, 2024 | 1 | 2024 |
| Design, validation and implementation of multiplex digital PCR assays for simultaneous quantification of multiple targets J de Korne-Elenbaas, L Caduff, A Lison, R McLeod, M Pitton, C Gan, ... Letters in applied microbiology, ovae137, 2024 | | 2024 |
| Non-Daily Sampling, Dilution, Degradation, and Measurement Noise: Improving Wastewater-Based Epidemiology by Modeling the Sampling Process A Lison, J Huisman, J Munday, D Dreifuss, T Stadler, T Kohn, C Ort, ... 9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS 17, 2023 | | 2023 |
| Interpretable Hierarchical Forecasting of Infectious Diseases A Lison Robert Koch Institute, Infectious Disease Data Science Unit, 2020 | | 2020 |
Nicolas BanholzerPostdoctoral researcher, Institute of Social and Preventive Medicine, University of BernZweryfikowany adres z unibe.ch