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COVID-19 Hospital Impact Model for Epidemics

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### Summary Among the inputs to the model, parameters can be broken up by which ones should be firm details of the population and hospital, or reliable local calculations, and...

models

Hello, I am testing the following set of parameters: Currently Hospitalized COVID-19 Patients 69 Doubling time before social distancing (days) 4 Social distancing (% reduction in social contact) 30% Hospitalization...

models

### Summary I work for a data science team at a health system, we have limited knowledge/prior experience running docker containers etc so we downloaded (via urllib.request) the files in...

models

This is a great tool!! Kudos!! This more like a question not an issue. I was looking for the build_admissions_df sub function and have a question. So, it looks like,...

documentation
question

Review test with data science, health comm policy. Market share will result in optimistic capacity projections when it isn't adjusted for failover and influx from neighboring regions/hospital systems or hospitals....

documentation
hospital-request

Incorporate tests in git actions to ensure that PPE estimates are in the right neighborhood This is something Penn is still working through - mostly uses the [excel](https://drive.google.com/file/d/1zoiy7hJJJPgXrljN6-PIYh_0leRNl1Ec/view?usp=sharing) file to...

python
qa
hospital-request
models
ppe

### Summary There's no a priori reason to assume that transition of a person from the Susceptible to Infectious states corresponds with immediate development of symptoms requiring hospitalization. If there's...

models

### Summary From Slack: civicanalyst Today at 5:06 PM > Hi all, When I run CHIME for one of our hospitals in PA using the assumption that 30% of hospitalizations...

models

Corey review, confirm, and suggest a solution. There is an initial hospitalized patient because fitting was done for the date_first_hospitalized or date_first_hospitalized was estimated from doubling_time. This likely causes an...

bug
python
qa

## Overview Currently, we use a deterministic SIR model (see `sir` and `sim_sir` in [models.py](https://github.com/CodeForPhilly/chime/blob/develop/penn_chime/models.py)) to predict everything. It does not have many parameters, which I think contributes to the...

documentation
models