Monitoring and predicting the spread of emerging infectious diseases requires that we understand the mechanisms of range expansion by its vectors. Here, we examined spatial and temporal variation of g
Datasets and R code used for the manuscript titled "Disentangling complex disease ecology networks: using Structural Equation Modelling to quantify the direct and indirect effects of deer on Lyme borr
Complete information for the ticks in the B. burgdorferi (BBG) epidemiological network. The table includes values of centrality (betweenness centrality, eigenvector centrality and PageRank), the clust
Aim: Predicting novel reservoirs of zoonotic pathogens would be improved by identifying inter-specific drivers of host competence, the ability to transmit pathogens to new hosts or vectors. Tick-borne
