CDCgov / CDCgov/DynODE

consult SMEs on our waning and cross-immunity models

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#122 5 comments 1 reaction 0 assignees View on GitHub

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enhancement
Dominant language
Python
Stars
13
Forks
3
Avg merge
19h 43m
Merged PRs (30d)
1

Description

things like:

  1. How are we dealing with immunity from previous exposures, especially when you have multiple previous exposures, which immunity values should you use for any given challenging strain
  2. what effect does vaccination have on homologous exposures.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the existing waning and cross-immunity model entry points in the Python codebase. Review how multiple previous exposures and vaccination are currently represented, then consult subject-matter experts to define the intended rules for homologous and challenging-strain exposures. Done means the model choices are agreed and documented for implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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