activity
20102023
most citedNetworks and the Epidemiology of Infectious Disease

344 citations · 885 across the 35 of their papers we have counts for

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Showing q-bio.PEShow all

17 papers · 1 filter

q-bio.PE2023

Calculation of Epidemic First Passage and Peak Time Probability Distributions

Jacob Curran-Sebastian, Lorenzo Pellis, Ian Hall +1

Understanding the timing of the peak of a disease outbreak forms an important part of epidemic forecasting. In many cases, such information is essential for planning increased hosp…

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…

q-bio.PE2022★ 16 cited

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

Joe Hilton, Heather Riley, Lorenzo Pellis +9

The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models wh…

q-bio.PE2021★ 23 cited

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

Christopher E. Overton, Lorenzo Pellis, Helena B. Stage +9

The first year of the COVID-19 pandemic put considerable strain on the national healthcare system in England. In order to predict the effect of the local epidemic on hospital capac…

q-bio.PE2021★ 1 cited

Total Effect Analysis of Vaccination on Household Transmission in the Office for National Statistics COVID-19 Infection Survey

Thomas House, Lorenzo Pellis, Emma Pritchard +2

We investigate the distribution of numbers of secondary cases in households in the Office for National Statistics COVID-19 Infection Survey (ONS CIS), stratified by timing of vacci…

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…