getKappaFun: Estimate Death Rate

In genSEIR: Predict Epidemic Curves with Generalized SEIR Modeling

Description

This function provides a first estimate of the death rate, to faciliate convergence of the main algorithm.

Usage

getKappaFun(
  tTarget,
  Q,
  D,
  guess,
  ftol,
  ptol,
  gtol,
  epsfcn,
  factor,
  maxfev,
  maxiter,
  nprint,
  trace
)

Arguments

tTarget	time vector
Q	target time-histories of the quarantined cases
D	target time-histories of the dead cases
guess	initial guess parameters for kappa
ftol	nls.lm.control object. non-negative numeric. Default is 1e-6
ptol	nls.lm.control object. non-negative numeric. Default is 1e-6
gtol	nls.lm.control object. non-negative numeric. Default is 1e-6
epsfcn	nls.lm.control object. Default is 0.001
factor	nls.lm.control object. Default is 100
maxfev	nls.lm.control object. Default is 1000
maxiter	nls.lm.control object. Default is 100
nprint	nls.lm.control object. Default is 1
trace	Set TRUE to trace iteration results

Value

vector of estimation and optimization function for the death rate

Author(s)

Selcuk Korkmaz, [e-mail]

References

Peng, L., Yang, W., Zhang, D., Zhuge, C., Hong, L. 2020. “Epidemic analysis of COVID-19 in China by dynamical modeling”, arXiv preprint arXiv:2002.06563.

https://www.mathworks.com/matlabcentral/fileexchange/74545-generalized-seir-epidemic-model-fitting-and-computation

See Also

SEIQRDP fit_SEIQRDP

genSEIR documentation built on July 12, 2021, 5:07 p.m.