activity
20202024
most citedUsing statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

60 citations · 60 across the 6 of their papers we have counts for

collaborators

7 papers

stat.AP2024

Modelling multiplex testing for outbreak Control

Martyn Fyles, Christopher E. Overton, Tom Ward +3

During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral flow device (LFD) tests were frequently deployed to detect the presence of SARS-CoV-2. Many of these tes…

stat.AP2023

Real-time COVID-19 hospital admissions forecasting with leading indicators and ensemble methods in England

Jonathon Mellor, Rachel Christie, Robert S Paton +6

Hospitalisations from COVID-19 with Omicron sub-lineages have put a sustained pressure on the English healthcare system. Understanding the expected healthcare demand enables more e…

stat.AP2023

Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK

Jonathon Mellor, Christopher E Overton, Martyn Fyles +4

Following the UK Government's Living with COVID-19 Strategy and the end of universal testing, hospital admissions are an increasingly important measure of COVID-19 pandemic pressur…

q-bio.PE2022

The role of regular asymptomatic testing in reducing the impact of a COVID-19 wave

Miguel E. P. Silva, Martyn Fyles, Li Pi +4

Testing for infection with SARS-CoV-2 is an important intervention in reducing onwards transmission of COVID-19, particularly when combined with the isolation and contact-tracing o…

stat.AP2021

Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets

Martyn Fyles, Karina-Doris Vihta, Carole H Sudre +13

Through the use of cutting-edge unsupervised classification techniques from statistics and machine learning, we characterise symptom phenotypes among symptomatic SARS-CoV-2 PCR-pos…

q-bio.PE2020★ 60 cited

Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

Christopher E. Overton, Helena B. Stage, Shazaad Ahmad +16

During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and desig…

q-bio.PE2020

Challenges in control of Covid-19: short doubling time and long delay to effect of interventions

Lorenzo Pellis, Francesca Scarabel, Helena B. Stage +14

Early assessments of the spreading rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but more reliable…