Table 3. Parameters related to infections and recovery for the actual and modeled trend of coronavirus disease 2019 in several cities of Korea.

Type of infection	Area	λI	dI.m	dI.f	dI.a	hdR.c	${\stackrel{-}{R}}_{\mathrm{C}.\mathrm{m}}$	${\stackrel{-}{R}}_{\mathrm{C}.\mathrm{a}}$	dR.c	hR.c
Mass	Daegu	−6.3	31.3	30	25	−1,486.6	7,268.3	5,781.7	50	4,859
	Gyeongbuk	−5.3	29.3	26	24	−232.7	1,291.4	1,058.7	45	823
Normal	Seoul	−0.1	53.1	53	53	−38.5	534.5	496.0	75	455
	Gyeonggi	−0.1	49.9	49	50	−32.9	552.9	520.0	74	487