Comments (3)
The current workaround is described in this slack convo:
Is it reasonable to adjust the doubling time to simulate different levels of intervention success?
Yes, for now that is the lever to pull to simulate reductions in contact rates.
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We built in a first pass at this upstream in pennsignals/chime#70. It should be integrated now.
from chime.
Single-date intervention is now implemented, pending just addition to the newer Dash UI #459. There's a potential longer-range plan of allowing input of successive interventions (or relaxations . . .). The model code is already set up to handle, and even fit consistent values for, that series, whenever UI is added for it.
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Related Issues (20)
- ["bug"] Heroku deployment failed with develop branch (a8c21bc) HOT 5
- Current Hospitalized/Date First Hospitalized combination bug HOT 1
- Limit forecasting window to one month HOT 1
- Mitigation Doubling time seems off? ["bug"]
- ["Observability"] Implement APM, Template Example and Create Enhancement for other to contribute. HOT 1
- ["Observability"] Allow adjustments to ILM
- Pivot to BayesChime
- Pointing users to the new model explicitly HOT 1
- ["model"] n_days is too low for fitting current_hospitalized against the curve
- Update PPE for i18n
- ["bug"] Heroku staging
- ["bug"](Preprod) - Site Error
- Update text for Bayes CHIME and PPE
- ["bug"] Remove the PPE screenshot HOT 2
- ["feature"] Update the excel PPE calculator and text
- Prod deployment PR shows incorrect diff
- Add PPE team to the acknowledgement section HOT 1
- Update defaults/*.cfg
- [model] Automate updates to ./defaults/*.cfg
- Dependency issue with click["bug"]
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