Fig. 4.

Statistically significant predictors of degree and closeness centrality within mTPNs across epidemiologically relevant taxonomic interfaces in Nairobi. (A) Factors influencing centrality of maintenance within maintenance hosts: i) centrality of individual birds with the city’s rodent network and ii) individual birds within the city’s avian network. (B) Factors influencing centrality of intermediate within maintenance hosts: i) centrality of individual livestock within the city’s rodent network, ii) individual livestock within the city’s avian network, and iii) individual birds and rodents within the city’s livestock network. (C) Factors influencing centrality of target within intermediate hosts: i) centrality of individual people within the city’s livestock network. (D) Factors influencing centrality of target within maintenance hosts: i) centrality of individual people within the city’s rodent network and ii) individual people within the city’s avian network.