Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study AJ Kucharski, P Klepac, AJK Conlan, SM Kissler, ML Tang, H Fry, JR Gog, ... The Lancet infectious diseases 20 (10), 1151-1160, 2020 | 1007 | 2020 |
Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project P Klepac, AJ Kucharski, AJK Conlan, S Kissler, ML Tang, H Fry, JR Gog MedRxiv, 2020.02. 16.20023754, 2020 | 144 | 2020 |
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 |
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease SM Kissler, P Klepac, M Tang, AJK Conlan, JR Gog BioRxiv, 479154, 2018 | 28 | 2018 |
SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return J Enright, EM Hill, HB Stage, KJ Bolton, EJ Nixon, EL Fairbanks, ML Tang, ... Royal Society Open Science 8 (8), 210310, 2021 | 19 | 2021 |
Human mobility data from the BBC Pandemic project AJK Conlan, P Klepac, AJ Kucharski, S Kissler, ML Tang, H Fry, JR Gog medRxiv, 2021.02. 19.21252079, 2021 | 7 | 2021 |
Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. medRxiv. 2020; 2020.02. 16.20023754 P Klepac, AJ Kucharski, AJK Conlan, S Kissler, M Tang, H Fry Publisher Full Text, 0 | 6 | |
Coughs, colds and “freshers’ flu” survey in the University of Cambridge, 2007–2008 KTD Eames, ML Tang, EM Hill, MJ Tildesley, JM Read, MJ Keeling, ... Epidemics 42, 100659, 2023 | 2 | 2023 |
Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models J Mellor, R Christie, CE Overton, RS Paton, R Leslie, M Tang, S Deeny, ... Communications Medicine 3 (1), 190, 2023 | 1 | 2023 |
Identifying employee, workplace and population characteristics associated with COVID-19 outbreaks in the workplace: a population-based study CE Overton, R Abbey, T Baird, R Christie, O Daniel, J Day, M Gittins, ... Occupational and Environmental Medicine 81 (2), 92-100, 2024 | | 2024 |
Author Correction: Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models J Mellor, R Christie, CE Overton, RS Paton, R Leslie, M Tang, S Deeny, ... Communications Medicine 4, 2024 | | 2024 |
Real-time COVID-19 hospital admissions forecasting with leading indicators and ensemble methods in England J Mellor, R Christie, RS Paton, R Leslie, M Tang, M Fyles, S Deeny, ... arXiv preprint arXiv:2306.05762, 2023 | | 2023 |
Quantifying the risk of workplace COVID-19 clusters in terms of commuter, workplace, and population characteristics CE Overton, R Abbey, T Baird, R Christie, O Daniel, J Day, M Gittins, ... arXiv preprint arXiv:2305.08745, 2023 | | 2023 |
Quantifying the risk of workplace COVID-19 clusters in terms of commuter, workplace, and population characteristics (preprint) CE Overton, R Abbey, T Baird, R Christie, O Daniel, J Day, M Gittins, ... | | 2023 |
Real-time COVID-19 hospital admissions forecasting with leading indicators and ensemble methods in England (preprint) J Mellor, R Christie, RS Paton, R Leslie, M Tang, M Fyles, S Deeny, ... | | 2023 |
COVID-19 and Universities: Report from the Higher Education working group at the Isaac Newton Institute: Version for SAGE: 13th January 2021 K Bolton, E Brooks-Pollock, C Budd, L Dyson, J Enright, E Fairbanks, ... UK Government, 2021 | | 2021 |
Coughs, Colds and “Freshers’ Flu” Survey in the University of Cambridge, 2007-2008 (preprint) KTD Eames, M Tang, E Hill, M Tildesley, J Read, M Keeling, J Gog | | 2021 |
Jager, MD, 25 Jiménez, E., 9 Jin, L., 57 J Jose, TC Bai, AL Ballard, H Ban, H Ben-makhlouf-Hakem, K Bolton, ... Fluid Phase Equilibria 232, 232, 2005 | | 2005 |