Exploring the effect of biological delays in kinetic models of influenza within a host or cell culture

Table 3 Fits to the Gaush & Smith (1968) single-cycle, single-history experiment (Figure 5) [9]

Dist^a		蟿_L (h)	蟽 _L	蟿_I (h)	蟽 _I	(h)	(h)	SSR	AIC_c
exp	1.8 脳 10⁶	10.5	鈥�	10.5	鈥�	7.3	7.3	3.59	-21.3
未	7.5 脳 10⁵	6.2	鈥�	34.5	鈥�	6.2	34.5	鈥�^b	鈥�
N	5.4 脳 10⁶	12.4	4.6 h	0.17	9.7 h	12.4	6.6	0.79	-41.3
听	[1.4:8.7]^c	[6.7:14.3]	[1.9:5.8]	[0.002:23]	[4.3:13.3]	听	听	听	听
lnN	2.0 脳 10⁶	8.5	0.49	18.2	0	8.5	18.2	0.93	-38.3
听	[1.0:4.6]	[5.4:10.8]	[0.24:0.58]	[9.6:25.6]	[0:0.41]	听	听	听	听

a 鈥� Delay model used: exponential (exp), fixed (未), normal (N), and lognormal (lnN).
b 鈥� Using the fixed-delay model, virus titer is zero at all times prior to the appearance of infectious cells such that the SSR measured in log scale cannot be computed.
c 鈥� 95% confidence intervals are given in brackets for the normal and lognormal fits.

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