Simulations of ART provided either to those with the highest TNS or to a random subset of clustered individuals.

<p>Black nodes are those that are being treated (the assumption is that ART is 100% effective at stopping all secondary transmissions). Other nodes are colored according to how likely they are to be prevented from becoming infected assuming that we have removed the treated nodes from the infectious pool; they are also labeled by the rate at which they are expected to be effectively protected (dark red = very high probability of preventing transmission). These values are derived from simulating treatment where the randomness comes from the fact that should a node have N possible infectious connections, K of which are treated/removed due to treatment of other nodes, the node itself will NOT become infected with probability K/N. Targeting high TNS in panel A shows (i) The removal of an entire large cluster, where many nodes have high TNS (ii) prevented chains of transmission (i.e. even nodes that are not directly connected to the treatment subset have a high probability from being protected). Targeting the same number of random nodes in panel B shows: largely a very local effect and almost no chains being disrupted (with the exception of a cluster that is randomly chosen). Both panel A and panel B networks have the same topology, though the appearance is slightly different to allow labeling of specific nodes.