EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks
Fig 5
LBM networks and poultry mixing.
(A,B) Broiler LBM networks for Chattogram and Dhaka, respectively. An arrow pointing from market l to l′ indicates at least one movement in that direction, while arrow thickness is proportional to the number of vendors moving on that edge. Node size is proportional to the outgoing weight, i.e. the total number of vendors leaving it. Isolated and connected nodes are shown in cyan and teal, respectively. (C,D) GRC and TD, respectively, for Dhaka’s network (line) and ensembles of 2000 synthetic LBM networks with the same density as Dhaka’s network and prandom = 1 (red) and prandom = 0.1 (cyan). (E,F) Average GRC and TD, respectively, across 100 networks with 20 nodes and as a function of ρ and prandom. The dotted line denotes Dhaka’s density. (G,H) Pianka’s index of overlap and proportion of markets where it is possible to find chickens from different upazilas/sub-districts, respectively, as a function of network parameters. Performing the same measurement before any vendor movement occurs, yields an overlap (Pianka’s) of 0.261, and 25,7% shared markets, on average. This represents the baseline overlap due to middlemen sourcing chickens from farms and selling them to vendors. Results are averaged over 50 simulations from 10 different PDN realisations. All other PDN parameters are set to default values.