Although some individual strategies may seem very effective, they may not be feasible and models assist policy makers in avoiding potentially disastrous decisions. Social distancing has been widely used in epidemics [7] but their impact remains unclear and highly dependent on disease severity, transmission, and risk groups affected. Local interventions such as school closures may be effective if done early, decisively, and for prolonged periods [20, [38] [39] [40] . A United Kingdom model based on a 1957like pandemic showed more than 20% case reduction if the Ro were low (<2) and schools were closed early, but less than 10% case reduction in pandemics with high Ro [38] . A French study showed that prolonged closure and limiting contact among children outside school may reduce cases by 17% and peak AR by 45% [39] . However, school closures and limiting social contact may be socioeconomically difficult to achieve. Another study found that total closure of schools and workplaces reduced AR by 95%. However, the socio-economic impact would be unimaginable [20] . Similarly, most modeling studies found that travel restrictions alone did not impact overall AR [13, 16, 19, 23] . Reducing air travel has been modeled to be effective in delaying pandemic spread if nearly 100% reduction can be achieved [13, 16] , and will be difficult if not impossible to achieve [41] . If used alone, local epidemic severity may increase because restriction-induced travel delays can push local outbreaks into high epidemic season [14] .