The total attack rate, drug usage, testkit usage and amount of work hours lost are shown in figure 13 . From the results, we see an overall increase in the total number of people infected and the consumption of the different resources. However, an interesting observation is that the effectiveness for diagnostic approach D4-where the patient stays in the hospital while waiting for the test results-starts to degrade regardless of intervention policy. One reason for this phenomenon is that the force of infection experienced by an ONILI patient is increased dramatically, not only because they visit the same hospital as infected individuals, but also due to the higher concentration of infectious people in the hospitals as compared with other location types. In fact, in the absence of a fast testkit, simulations showed that it is better to collect the samples from the patient and allow him/her to go off while diagnosis is being performed using conventional laboratory-based methods. Nonetheless, the better policy will still be to prevent the mixing of genuine influenza cases and those with ONILIs. How necessary is a fast testkit? J. Chin et al. 1043