epiverse-trace / epiverse-trace/superspreading
Possible method for inferring clusters of transmission
Open
enhancement
- Dominant language
- R
- Stars
- 5
- Forks
- 2
- Avg merge
- 2d 19h
- Merged PRs (30d)
- 2
Description
Paul Tupper, Shraddha Pai COVID Schools CanadaCaroline Colijn (2022) COVID-19 cluster size and transmission rates in schools from crowdsourced case reports eLife 11:e76174.
Contributor guide
Research direction
The issue names no files, tests, or entry points; it only cites a 2022 eLife paper about COVID-19 cluster size and transmission rates in schools. Start by reading the cited paper and identifying the intended method, then define the affected package entry point and acceptance criteria before implementation can be considered done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100