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Plos Computational Biology|March 4, 2021
Testing, tracing and isolation in compartmental modelsSimone Sturniolo, William Waites, Tim Colbourn, et al.
Methodsx|April 14, 2020
A method for evaluating the cost-benefit of different preparedness planning policies against pandemic influenzaJasmina Panovska-Griffiths, Luca Grieco, Edwin van Leeuwen, et al.
Vaccine|June 25, 2020
Exploring the role of mass immunisation in influenza pandemic preparedness: A modelling study for the UK contextLuca Grieco, Jasmina Panovska-Griffiths, Edwin van Leeuwen, et al.
BMC Medicine|November 18, 2020
Evaluating the next generation of RSV intervention strategies: a mathematical modelling study and cost-effectiveness analysisDavid Hodgson, Richard Pebody, Jasmina Panovska-Griffiths, et al.
Vaccine|July 30, 2018
A method for evaluating and comparing immunisation schedules that cover multiple diseases: Illustrative application to the UK routine childhood vaccine scheduleJasmina Panovska-Griffiths, Sonya Crowe, Christina Pagel, et al.
Pharmacoeconomics|June 19, 2021
Jointly Modelling Economics and Epidemiology to Support Public Policy Decisions for the COVID-19 Response: A Review of UK StudiesAna Duarte, Simon Walker, Andrew Metry, et al.
Scientific Reports|March 12, 2021
Determining the level of social distancing necessary to avoid future COVID-19 epidemic waves: a modelling study for North East LondonNathan Cheetham, William Waites, Irene Ebyarimpa, et al.
BMC Infectious Diseases|December 31, 2015
A novel approach to evaluating the UK childhood immunisation schedule: estimating the effective coverage vector across the entire vaccine programmeSonya Crowe, Martin Utley, Guy Walker, et al.
Scientific Reports|August 26, 2024
Quantification of the time-varying epidemic growth rate and of the delays between symptom onset and presenting to healthcare for the mpox epidemic in the UK in 2022Robert Hinch, Jasmina Panovska-Griffiths, Thomas Ward, et al.
Journal of Theoretical Biology|May 7, 2019
Are we prepared for the next influenza pandemic? Lessons from modelling different preparedness policies against four pandemic scenariosJasmina Panovska-Griffiths, Luca Grieco, Edwin van Leeuwen, et al.
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