A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves.

ABSTRACT: The field of software engineering is advancing at astonishing speed, with packages now available to support many stages of data science pipelines. These packages can support infectious disease modelling to be more robust, efficient and transparent, which has been particularly important during the COVID-19 pandemic. We developed a package for the construction of infectious disease models, integrated it with several open-source libraries and applied this composite pipeline to multiple data sources that provided insights into Australia's 2022 COVID-19 epidemic. We aimed to identify the key processes relevant to COVID-19 transmission dynamics and thereby develop a model that could quantify relevant epidemiological parameters. The pipeline's advantages include markedly increased speed, an expre

SUBMITTER: Trauer JM 

PROVIDER: S-EPMC11447346 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature