CDCgov / CDCgov/DynODE

vaccinate exposed populations rather than susceptible only

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#92 2 comments 0 reactions 0 assignees View on GitHub

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

Description

Think of a way to represent real-world vaccination of all non-symptomatic individuals. Currently in the model we only vaccinate S compartment populations while exposed and non-symptomatic E and I populations do not get vaccinated. Thus we over vaccinate groups that benefit the most from it (susceptible individuals).

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Research direction

Start by tracing the vaccination logic that currently updates only the susceptible (S) compartment and inspect how exposed (E) and non-symptomatic infectious (I) populations are represented. Define the intended behavior for vaccinating all non-symptomatic individuals, then verify that the model no longer over-vaccinates only the S population.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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