| Practical considerations for measuring the effective reproductive number, Rt KM Gostic, L McGough, EB Baskerville, S Abbott, K Joshi, C Tedijanto, ... PLoS computational biology 16 (12), e1008409, 2020 | 454 | 2020 |
| Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts S Abbott, J Hellewell, RN Thompson, K Sherratt, HP Gibbs, NI Bosse, ... Wellcome Open Research 5 (112), 112, 2020 | 313* | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 250* | 2022 |
| The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia M Pavelka, K Van-Zandvoort, S Abbott, K Sherratt, M Majdan, ... Science 372 (6542), 635-641, 2021 | 214* | 2021 |
| Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020 | 207* | 2020 |
| Estimation of the test to test distribution as a proxy for generation interval distribution for the Omicron variant in England S Abbott, K Sherratt, M Gerstung, S Funk MedRxiv, 2022.01. 08.22268920, 2022 | 58 | 2022 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 41 | 2023 |
| Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England K Sherratt, S Abbott, SR Meakin, J Hellewell, JD Munday, N Bosse, ... Philosophical Transactions of the Royal Society B 376 (1829), 20200283, 2021 | 41* | 2021 |
| Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England JD Munday, K Sherratt, S Meakin, A Endo, CAB Pearson, J Hellewell, ... Nature communications 12 (1), 1942, 2021 | 35* | 2021 |
| Short-term forecasts to inform the response to the Covid-19 epidemic in the UK S Funk, S Abbott, BD Atkins, M Baguelin, JK Baillie, P Birrell, J Blake, ... MedRxiv, 2020.11. 11.20220962, 2020 | 33 | 2020 |
| EpiNow2: estimate real-time case counts and time-varying epidemiological parameters S Abbott, J Hellewell, K Sherratt, K Gostic, J Hickson, HS Badr, M DeWitt, ... R package version 0.1. 0, 2020 | 33 | 2020 |
| EpiNow2: Estimate real-time case counts and time-varying epidemiological parameters. 2020 S Abbott, J Hellewell, K Sherratt, K Gostic, J Hickson, HS Badr, M DeWitt, ... R package version 0.1. 0, 2020 | 22 | 2020 |
| How much is spent on mental health research: developing a system for categorising grant funding in the UK E Woelbert, A Kirtley, N Balmer, S Dix The Lancet Psychiatry 6 (5), 445-452, 2019 | 22 | 2019 |
| Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level S Meakin, S Abbott, N Bosse, J Munday, H Gruson, J Hellewell, K Sherratt, ... BMC medicine 20 (1), 86, 2022 | 15 | 2022 |
| Estimating the annual dengue force of infection from the age of reporting primary infections across urban centres in endemic countries JR Biggs, AK Sy, K Sherratt, OJ Brady, AJ Kucharski, S Funk, MAJ Reyes, ... BMC medicine 19, 1-14, 2021 | 8 | 2021 |
| covidregionaldata: Subnational data for COVID-19 epidemiology J Palmer, K Sherratt, R Martin-Nielsen, J Bevan, H Gibbs, S Funk, ... Journal of Open Source Software 6 (63), 3290, 2021 | 8 | 2021 |
| European covid-19 forecast hub K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandman, ... | 4 | 2022 |
| Characterising information loss due to aggregating epidemic model outputs K Sherratt, A Srivastava, K Ainslie, DE Singh, A Cublier, MC Marinescu, ... medRxiv, 2023 | 2 | 2023 |
| Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic K Sherratt, AC Carnegie, A Kucharski, A Cori, CAB Pearson, CI Jarvis, ... bioRxiv, 2023.06. 12.544667, 2023 | 2 | 2023 |
| Improving modelling for epidemic responses: reflections K Sherratt, S Abbott, A Carnegie, Y Liu OSF, 2023 | 1 | 2023 |
Sam AbbottLondon School of Hygiene and Tropical MedicineVerified email at lshtm.ac.uk
