CDCgov / CDCgov/DynODE

Sensitivity analysis for the introduction mechanism

Open
#283 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

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

Description

At the moment we are using a normal shaped (in time) introduction shape in force of infection. The reason for fixing this was to keep the number of parameters as low as possible.

However, we should also have a sensitivity analysis to this modelling to decision to see how strongly this assumption affects our analysis.

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

The issue names no files, tests, or entry point. Begin by locating the normal-shaped introduction mechanism and the existing analysis workflow, then clarify the sensitivity comparison and its acceptance criteria with maintainers. Done means the effect of varying that modelling assumption is quantified and documented.

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
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.