As we have shown, a number of factors are important when effects of public health interventions are considered. First, the rate of seeding has significant impact on the delay that can be achieved by the interventions. Other published models start their simulation with one infection, a random number each day or an increasing number at a reduced R0. In contrast, our analysis is based on the observed number of cases. Second, the sensitivity of the surveillance system to detect cases is important. In reality, detection of cases without travel history to countries with community transmission of novel influenza A/H1N1, i.e. domestic cases, may be difficult as the clinical picture of the disease has proven to be often non-specific. Therefore, sensitivity to detect cases may be relatively low. Given these limitations we have provided a number of different scenarios (case detection rates of 10, 30 and 50%) addressing how the described interventions may impact the epidemic.