For even the largest computers, p is constant relative to N. Therefore such runs do not affect the asymptotic time requirements.
β is the transmission rate of the infected computers; p is the rate at which a susceptible computer breaks out suddenly due to its connection with infected computers; (1-p) is the rate at which a susceptible computer is latent due to its connection with infected computers; ϱ is the death rate of computers in the network; γ, ε and α are the state transition rates.
When only considering MRSA, P. aeruginosa, and A. baumannii, all the differences between non-ICU and ICU computers (p = 0.476), keyboard and mouse specimens (p = 0.191), and accounting and "clinical use" computers (p = 0.722), were not significant (Table 2).
There was no significant difference about contamination rate by any of S. aureus, Pseudomonas spp. and Acinetobacter spp. between non-ICU (16.7%, 35/210) and ICU (19.4%, 14/72) computers (p = 0.591) and between accounting, radiology and order computers (p = 0.699).
Statistically significant associations were observed with age (p = 0.039), level of education (p = 0.025), duration of exposure to computers (p = 0.025) and attitudes towards computerisation.
Similarly, there was no difference in the availability of computers (p = 0.47) and internet connections (p = 0.71) at home in all three groups.
They were more likely than specialists to use handheld computers (p =.0004) with nearly half (49%) of family physicians reporting use, most frequently for drug reference.
When the radiology and order computers were grouped together into the "clinical use" category, there was no significant difference in the contamination rate between accounting (10/47) and "clinical use" (39/235) computers (p = 0. 439).
One-thirds of those surveyed accessed the video clips using mobile devices; they agreed more with the statement that it was convenient to access the video clips than their peers who accessed the videos using computers (p < 0.05).
