activity
20222026
most citedTen simple rules for training scientists to make better software

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.PE2026

Misspecification of the generation time distribution and its impact on Rt estimates in structured populations

Ioana Bouros, Robin Thompson, David Gavaghan +1

Due to its ability to summarise 'real-time' epidemic behaviour, the time-dependent reproduction number, Rt, is a useful metric for tracking pathogen transmission and quantifying th…

q-bio.PE2025

The time-dependent reproduction number for epidemics in heterogeneous populations

Ioana Bouros, Robin Thompson, David Gavaghan +1

The time-dependent reproduction number Rt can be used to track pathogen transmission and to assess the efficacy of interventions. This quantity can be estimated by fitting renewal…

cs.CY2024★ 5 cited

Ten simple rules for training scientists to make better software

Kit Gallagher, Richard Creswell, Ben Lambert +4

Computational methods and associated software implementations are central to every field of scientific investigation. Modern biological research, particularly within systems biolog…

q-bio.PE2023★ 1 cited

EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models

Lara Herriott, Henriette L. Capel, Isaac Ellmen +7

Mathematical models play a crucial role in understanding the spread of infectious disease outbreaks and influencing policy decisions. These models aid pandemic preparedness by pred…

math.ST2023

Understanding the impact of numerical solvers on inference for differential equation models

Richard Creswell, Katherine M. Shepherd, Ben Lambert +5

Most ordinary differential equation (ODE) models used to describe biological or physical systems must be solved approximately using numerical methods. Perniciously, even those solv…

stat.ME2022

Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems

Ben Lambert, Chon Lok Lei, Martin Robinson +5

Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to spe…