This scholarly profile was discovered from public research metadata and has not yet been claimed. Is this your research profile?
Katharine Sherratt
UnverifiedResearcher · GB
Publications
10
Citations
2101
max across sources
Profile views
4
bot-filtered
Verification
L0
Overview
AI-generatedKatharine Sherratt (RTX-00000039) based in GB is a researcher on ResearchTrics. Lists research interests: biosimilars and bioanalytical methods, chemistry and stereochemistry studies, covid-19 epidemiological studies, covid-19 impact on reproduction, data analysis with r. Has 10 publications recorded, including "Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations" (2023), "Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States" (2022), "The United States COVID-19 Forecast Hub dataset" (2022).
An AI overview generated from this profile’s verified records — an interpretation, not a verified statement.
Research interests
- biosimilars and bioanalytical methods
- chemistry and stereochemistry studies
- covid-19 epidemiological studies
- covid-19 impact on reproduction
- data analysis with r
Publications (30)
- Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations111 cites
eLife · 2023 · DOI
- Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations111 cites
eLife · 2023 · DOI
- Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations111 cites
eLife · 2023 · DOI
- Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States342 cites
Proceedings of the National Academy of Sciences · 2022 · DOI
- Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States342 cites
Proceedings of the National Academy of Sciences · 2022 · DOI
- Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States342 cites
Proceedings of the National Academy of Sciences · 2022 · DOI
- The United States COVID-19 Forecast Hub dataset135 cites
Scientific Data · 2022 · DOI
- The United States COVID-19 Forecast Hub dataset135 cites
Scientific Data · 2022 · DOI
- The United States COVID-19 Forecast Hub dataset135 cites
Scientific Data · 2022 · DOI
- Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study243 cites
The Lancet Public Health · 2021 · DOI
- Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study243 cites
The Lancet Public Health · 2021 · DOI
- Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study243 cites
The Lancet Public Health · 2021 · DOI
- The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia197 cites
Science · 2021 · DOI
- The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia197 cites
Science · 2021 · DOI
- The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia197 cites
Science · 2021 · DOI
- The potential health and economic value of SARS-CoV-2 vaccination alongside physical distancing in the UK: a transmission model-based future scenario analysis and economic evaluation195 cites
The Lancet Infectious Diseases · 2021 · DOI
- The potential health and economic value of SARS-CoV-2 vaccination alongside physical distancing in the UK: a transmission model-based future scenario analysis and economic evaluation195 cites
The Lancet Infectious Diseases · 2021 · DOI
- The potential health and economic value of SARS-CoV-2 vaccination alongside physical distancing in the UK: a transmission model-based future scenario analysis and economic evaluation195 cites
The Lancet Infectious Diseases · 2021 · DOI
- 178 cites
- 178 cites
- 178 cites
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts287 cites
Wellcome Open Research · 2020 · DOI
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts197 cites
Wellcome Open Research · 2020 · DOI
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts197 cites
Wellcome Open Research · 2020 · DOI
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts287 cites
Wellcome Open Research · 2020 · DOI
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts197 cites
Wellcome Open Research · 2020 · DOI
- Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts287 cites
Wellcome Open Research · 2020 · DOI
- Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections216 cites
BMC Medicine · 2020 · DOI
- Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections216 cites
BMC Medicine · 2020 · DOI
- Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections216 cites
BMC Medicine · 2020 · DOI
