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COVID-19 Hospital Impact Model for Epidemics
### 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...
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...
### 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...
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,...
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....
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...
### 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...
### 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...
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...
## 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...