Bayesian emulation and history matching of JUNE

I Vernon, J Owen, J Aylett-Bullock… - … of the Royal …, 2022 - royalsocietypublishing.org
We analyze JUNE: a detailed model of COVID-19 transmission with high spatial and
demographic resolution, developed as part of the RAMP initiative. JUNE requires substantial …

A scoping review of three dimensions for long-term covid-19 vaccination models: hybrid immunity, individual drivers of vaccinal choice, and human errors

JT Beerman, GG Beaumont, PJ Giabbanelli - Vaccines, 2022 - mdpi.com
The virus that causes COVID-19 changes over time, occasionally leading to Variants of
Interest (VOIs) and Variants of Concern (VOCs) that can behave differently with respect to …

Some challenges of calibrating differentiable agent-based models

A Quera-Bofarull, J Dyer, A Calinescu… - arXiv preprint arXiv …, 2023 - arxiv.org
Agent-based models (ABMs) are a promising approach to modelling and reasoning about
complex systems, yet their application in practice is impeded by their complexity, discrete …

Differentiable agent-based epidemiology

A Chopra, A Rodríguez, J Subramanian… - arXiv preprint arXiv …, 2022 - arxiv.org
Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of
complex, dynamic infections under varying conditions and navigate uncertain environments …

Bayesian calibration of differentiable agent-based models

A Quera-Bofarull, A Chopra, A Calinescu… - arXiv preprint arXiv …, 2023 - arxiv.org
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex
systems; however, the intractability of ABMs' likelihood functions and the non-differentiability …

Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models

R Hinch, J Panovska-Griffiths… - … of the Royal …, 2022 - royalsocietypublishing.org
The SARS-CoV-2 epidemic has been extended by the evolution of more transmissible viral
variants. In autumn 2020, the B. 1.177 lineage became the dominant variant in England …

[HTML][HTML] Facilitating simulation development for global challenge response and anticipation in a timely way

D Groen, D Suleimenova, A Jahani, Y Xue - Journal of Computational …, 2023 - Elsevier
An important subset of today's global crises, such as the 2015 migration crisis in Syria and
the 2020 COVID pandemic, has a rapid and hard-to-extrapolate evolution that complicates …

Don't simulate twice: one-shot sensitivity analyses via automatic differentiation

A Quera-Bofarull, A Chopra, J Aylett-Bullock… - 2023 - ora.ox.ac.uk
Agent-based models (ABMs) are a promising tool to simulate complex environments. Their
rapid adoption requires scalable specification, efficient data-driven calibration, and …

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement

J Aylett-Bullock, C Cuesta-Lazaro… - PLOS Computational …, 2021 - journals.plos.org
The spread of infectious diseases such as COVID-19 presents many challenges to
healthcare systems and infrastructures across the world, exacerbating inequalities and …

Evaluation of COVID-19 intervention policies in South Korea using the stochastic individual-based model

MK Chae, DU Hwang, K Nah, WS Son - Scientific Reports, 2023 - nature.com
The COVID-19 pandemic has swept the globe, and countries have responded with various
intervention policies to prevent its spread. In this study, we aim to analyze the effectiveness …