A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves
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 CO...
Saved in:
| Main Authors: | James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-03-01
|
| Series: | Infectious Disease Modelling |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042724000988 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review
by: Viet Long Bui, et al.
Published: (2024-12-01) -
Estimating the impact of school closures on the COVID-19 dynamics in 74 countries: A modelling analysis.
by: Romain Ragonnet, et al.
Published: (2025-01-01) -
APPLYING FUNCTION POINT METHOD TO MEASURE ENTREPRENEURSHIP SYSTEM SIZE AT UiTM
by: Gazairi Ghazali, et al.
Published: (2025-04-01) -
Modelling the Impact of Condom Distribution on the Incidence and Prevalence of Sexually Transmitted Infections in an Adult Male Prison System.
by: Nick Scott, et al.
Published: (2015-01-01) -
A metamorphic robot suitable for rigid miniature pipelines
by: JIA Xiaoli, et al.
Published: (2025-03-01)