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Katharine Sherratt
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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
4742020
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
324*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
279*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
216*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
2102020
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
572022
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
462023
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
462020
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
42*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
36*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
352020
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
232019
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
192022
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
102021
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
82021
European covid-19 forecast hub
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandman, ...
42022
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, ...
Wellcome open research 9, 2024
32024
Characterising information gains and losses when collecting multiple epidemic model outputs
K Sherratt, A Srivastava, K Ainslie, DE Singh, A Cublier, MC Marinescu, ...
Epidemics 47, 100765, 2024
2*2024
Evaluating an epidemiologically motivated surrogate model of a multi-model ensemble
S Abbott, K Sherratt, N Bosse, H Gruson, J Bracher, S Funk
medRxiv, 2022.10. 12.22280917, 2022
12022
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