SEIQRDP_for_fitting: Fitted Results for SEIQRDP

In genSEIR: Predict Epidemic Curves with Generalized SEIR Modeling

Description

Fitted Results for SEIQRDP

Usage

SEIQRDP_for_fitting(par, t, t0, Npop, E0, I0, Q, R, D, dt)

Arguments

par	initial guess parameters
t	historical time vector
t0	target time vector
Npop	total population of the country
E0	initial number of exposed cases
I0	initial number of infectious cases
Q	actual number of quarantined cases
R	actual number of recovered cases
D	actual number of dead cases
dt	the time step. This oversamples time to ensure that the algorithm converges

Value

a data frame for fitted quarantined, recovered and deaths

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

fit_SEIQRDP RK4

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