Epidemiological Agent-Based Modelling Software (Epiabm)
원문 초록
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 Infectious Disease Analysis at Imperial College London. It has been developed as part of the first-year training programme in the EPSRC SABS:R3 Centre for Doctoral Training at the University of Oxford. The model builds an age-stratified, spatially heterogeneous population and offers a modular approach to configure and run epidemic scenarios, allowing for a broad scope of investigative and comparative studies. Two simulation backends are provided: a pedagogical Python backend (with full functionality) and a high performance C++ backend for use with larger population simulations. Both are highly modular, with comprehensive testing and documentation for ease of understanding and extensibility. Epiabm is publicly available through GitHub at https://github.com/SABS-R3-Epidemiology/epiabm.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
Clustering and Pruning in Causal Data Fusion
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
A Behaviour and Disease Model of Testing and Isolation
Optimal virulence strategies in epidemiological models with asymptomatic transmission
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks
토론
이 논문과 연결된 포럼 글이 아직 없습니다.