calc_nhosp: Calculate the expected number of hospitalizations for a model
In rplzzz/CovMitigation: COVID-19 infection model for Virginia
Description
Usage
Arguments
Details
Value
Description
Calculate the expected number of hospitalizations by day, based on an assumed
fraction of symptomatic patients that eventually go to the hospital.
Usage
1
calc_nhosp(ph, modout, mfadjust = TRUE)
Arguments
ph
Per-person hospitalization probability
modout
Model output from run_scenario
mfadjust
If TRUE, adjust for market fraction
Details
To make this calculation, we have to convert this probability to a rate. If
the recovery rate is γ = 1/D0, then the hospitalization rate r_h that gives
the desired probability P_h is
r_h = γ \frac{P_h}{1-P_h}
Value
Data frame of time and expected hospitalizations
rplzzz/CovMitigation documentation built on June 7, 2021, 8:48 a.m.
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Description Usage Arguments Details Value
Description
Calculate the expected number of hospitalizations by day, based on an assumed fraction of symptomatic patients that eventually go to the hospital.
Usage
1 | calc_nhosp(ph, modout, mfadjust = TRUE)
|
Arguments
ph |
Per-person hospitalization probability |
modout |
Model output from |
mfadjust |
If |
Details
To make this calculation, we have to convert this probability to a rate. If the recovery rate is γ = 1/D0, then the hospitalization rate r_h that gives the desired probability P_h is
r_h = γ \frac{P_h}{1-P_h}
Value
Data frame of time and expected hospitalizations
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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