Kit Gallagher

most citedEpidemiological Agent-Based Modelling Software (Epiabm)

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.PE2025

Assessing the performance of compartmental and renewal models for learning $R_{t}$ using spatially heterogeneous epidemic simulations on real geographies

Matthew Ghosh, Yunli Qi, Abbie Evans +8

The time-varying reproduction number ( $R_{t}$ ) gives an indication of the trajectory of an infectious disease outbreak. Commonly used frameworks for inferring $R_{t}$ from epidemiologi…

q-bio.PE2022★ 7 cited

Epidemiological Agent-Based Modelling Software (Epiabm)

Kit Gallagher, Ioana Bouros, Nicholas Fan +7

Epiabm is a fully tested, open-source software package for epidemiological agent-based modelling, re-implementing the well-known CovidSim model from the MRC Centre for Global Infec…

Assessing the performance of compartmental and renewal models for learning Rt​ using spatially heterogeneous epidemic simulations on real geographies

Epidemiological Agent-Based Modelling Software (Epiabm)

Assessing the performance of compartmental and renewal models for learning $R_{t}$ using spatially heterogeneous epidemic simulations on real geographies