fitSIR: Estimation of cases volumne.

In cyhsuTN/COVID19: Prediction of Cases Volumne and Hospitalization by SIR Model

Description

Cases volumne estimated from SIR model.

Usage

fitSIR(susceptible, Infected, inihos = 14, hosrate = 2.5, hms = 15,
  inidbt = 4, mrt = 14, sdis = 30, dayFT = 100)

Arguments

susceptible	Input. Number of susceptible people.
Infected	Input. Number of infected people. If unknown, it will be estimated by inihos/((hosrate/100) * (hms/100)).
inihos	Input. Initial number of hospitalized cases.
hosrate	Input. Hospitalization rate of infected people (percentage between 0 to 100).
hms	Input. Hospital market share (percentage between 0 to 100)
inidbt	Input. Initial doubling time.
mrt	Input. Mean recovery time.
sdis	Input. Social distancing (percentage between 0 to 100).
dayFT	Input. Days from today.

Value

result	Cases volumne.
Mdbt	Doubling time after mitigation.
EBRN	Effective basic reproduction number.

Examples

## To predicte 100 days from today (dayFT=100).
casevolumne <- fitSIR(susceptible=4119405, Infected=3733, inihos=14,
     hosrate=2.5, hms=15, inidbt=4, mrt=14, sdis=30, dayFT=100)
head(casevolumne$result, 21) ## show the first 20 days

cyhsuTN/COVID19 documentation built on April 3, 2020, 4:19 a.m.