Real infection networks are also likely to be dynamic and changing with time. There are seasonal variations to the infections, and also seasonal variations to social mobility patterns. For example, most temperate countries have an annual flu season that peaks during winter [30] [31] [32] , whereas tropical countries experience multiple flu seasons each year [33] . School holidays in June and December also change the social dynamics drastically, as students start hanging out more in shopping centers and families go on vacations [34, 35] . With real data, what we are estimating is effectively the infection network averaged over multiple epidemiological and social seasons. With enough data, it might also be possible to estimate these seasonal infection networks, and clearly interventions and mitigations might become more effective with the added knowledge of how the network varies with time. However, we believe that even with the averaged infection network, interventions and mitigations will still be effective enough to justify its study and estimation.