Prediction and prevention of pandemics via graphical model inference and convex programming

HIGHLIGHTS

SUMMARY

As argued i­ n1 the terminal state of a dynamic model generalizing the ICM model can be represented by the Ising Model of Pandemic (IMP), defined over graph G=(V, E ), where V is the set of N=|V | nodes and E is the set of undirected edges. The authors will then identify Safe Domain as a sub-space of feasible J and h such that for all the initial sets of the initially infected nodes, I, considered the resulting "infected" subset, R(I, J, h), is sufficiently small. The measures may include limiting . . .

 



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