Epiverse-TRACE: A collaborative software ecosystem for outbreak analysis and modelling

R
R packages
outbreak analytics
conference
community
Author

Joshua W. Lambert

Published

November 8, 2024

This presentation (18 minutes, plus 5 minutes for questions) was delivered at the inaugural Infectious Disease Modelling (IDM) Conference in Bangkok, Thailand on 8th November 2024.

Overview

This talk presented an overview of the Epiverse-TRACE ecosystem of R packages, and outlined the need for reliable, easy-to-use tooling for infectious disease outbreak analytics, as well as Epiverse-TRACE training material, community and the role Epiverse-TRACE can play as a co-creator in public health and open-source software development and maintenance.

Slides

A recording of the talk may become available in the future and if so a link will be provided to watch the presentation and questions in full.

Reuse

Citation

BibTeX citation:
@online{w._lambert2024,
  author = {W. Lambert, Joshua},
  title = {Epiverse-TRACE: {A} Collaborative Software Ecosystem for
    Outbreak Analysis and Modelling},
  date = {2024-11-08},
  url = {https://epiverse-trace.github.io/slides/idm-november-2024/},
  langid = {en}
}
For attribution, please cite this work as:
W. Lambert, Joshua. 2024. “Epiverse-TRACE: A Collaborative Software Ecosystem for Outbreak Analysis and Modelling.” November 8, 2024. https://epiverse-trace.github.io/slides/idm-november-2024/.