AMTraC-19 Source Code: Agent-based Model of Transmission and Control of the COVID-19 pandemic in Australia

The software implements an agent-based model for a fine-grained computational simulation of the COVID-19 pandemic in Australia. This model is calibrated to reproduce several features of COVID-19 transmission, including its age-dependent epidemiological characteristics. The individual-based epidemiological model accounts for mobility (worker and student commuting) patterns and human interactions derived from the Australian census and other national data sources. The high-precision simulation comprises approximately 24 million stochastically generated software agents and traces various scenarios of the COVID-19 pandemic in Australia. The software has been used to evaluate various intervention strategies, including (1) non-pharmaceutical interventions, such as restrictions on international air travel, case isolation, home quarantine, school closures, and stay-at-home restrictions with varying levels of compliance (i.e., "social distancing"), and (2) pharmaceutical interventions, such as pre-pandemic vaccination phase and progressive vaccination rollout.

The paper describing the model and the scenarios investigated with AMTRaC-19 (v7_7d):

S. L. Chang, C. Zachreson, O. M. Cliff, M. Prokopenko, Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia, Frontiers in Public Health, 10, 10.3389/fpubh.2022.823043, 2022.

Please cite it, as well as other publications referenced below, when using the software.

The dataset generated during this study is also available on Zenodo:

S. L. Chang, O. M. Cliff, C. Zachreson & M. Prokopenko. (2021). AMTraC-19 (v7.7d) Dataset: Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5726241