Analytical Study of Deep Learning-Based Preventive Measures of COVID-19 for Decision Making and Aggregation via the RISTECB Model

Table 1

Parameters of simulation.

Parameters	Symbols	Parameters	Symbols
Constant COVID-19 genetic frequency in the halves crowed	Λ	Initiator suspicious	S(t)
Death frequency circumstances other additional COVID-19	µ	Exposed transmitter	E(t)
The frequency of an unprotected individual becomes infected	α	Transmitter infected	I(t)
Frequency per S and I contact of transmission		Survivor previous infected	R(t)
Frequency of recovered	γ	Expirer as dead	D(t)
Progression rate of asymptomatic/symptomatic individuals to confirmed		Barrier as prevention
Transmission rate from asymptomatic to symptomatic		The entire population in the full or halves	N(t)
The transition rate of infected individuals	Δ