From the simulation results presented in the previous section, the impact of a fast testkit on mitigating pandemic influenza may not be as significant as the various social distancing policies themselves. In particular, for most cases within our model set up, assuming that the patient is positive for pandemic flu will result in better allocation of limited resources (drug dosage and amount of testkits) while minimizing the total number of people being infected. Then why is a fast testkit necessary? In the current model, the implementations of diagnostic methods and intervention policies are homogeneous, i.e. assume pandemic positive, slow and fast testkits are not being used in a way such that their intended effects are maximized according to whether the individual is an index case or a contact. In general, we find that three of the most important factors that guide the use of diagnostic testkits are (i) the resource consumption by false positives, (ii) the frequency of false positives, and (iii) the propagation potential of false negatives. In this work, an individual suspected to be infected may consume the following resources-antiviral drugs, testkits, work hours lost (which represents an intrinsic economic opportunity cost), and less importantly, the peak waiting room occupancy. Allocating an individual these resources when it is not really required (whether it is due to assuming that he/she is pandemic positive or the inadequate specificity of the testkits) is wastage which any policy maker would try to minimize. This is especially true for antiviral drugs, which often represents a hard constraint. Depending on the frequency and proportion of such false positives, proper diagnostic approaches can then be implemented. For instance, when the proportion of false positives is high, such as the case of a high ILI rate, assuming that all patients are pandemic positive would put a strain on the limited drug supplies. Of course, such rates may not be possible to obtain for a novel pandemic strain with no outbreak history. Nonetheless, by not advocating a blanket approach and instead, identifying areas where false positives are most likely to occur, the proper use of fast testkits can possibly achieve better mitigation outcomes and minimizing wastage.