tapios / risk-networks

Code for risk networks: a blend of compartmental models, graphs, data assimilation and semi-supervised learning
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Dynamic neighbour observation #175

Open odunbar opened 3 years ago

odunbar commented 3 years ago

In a new PR I implement an observation StaticNeighborObservation that target observation based off of the graph neighbourhood of a postively tested node. One could increase the effectiveness by using a DynamicNeighborObservation method that uses the recent contact network.

On obtaining a postively tested node, one could use the total contact durations of this node with it's neighbours over the past K static network intervals, to order their importance, of how likely it is they are infectious, and therefore their importance of candidacy for testing.