“…Primarily, these approaches have enabled the inclusion of spatial and environmental data in phylodynamic analysis to understand the spread of different epidemics, e.g. Ebola, influenza and HIV in humans ( Dudas et al, 2017 ; Müller, Rasmussen, and Stadler 2018 ; Rasmussen et al, 2018 ), foot-and-mouth disease in livestock ( Duchatel, Bronsvoort, and Lycett 2019 ; Munsey et al, 2021 ), and infectious wildlife diseases ( Fountain-Jones et al, 2017 ; Yang et al, 2019 ; Dellicour et al, 2020 ). Given the role of long-distance animal movements in the spread of PRRS and other livestock diseases ( Mortensen et al, 2002 ; Carlsson et al, 2009 ; Amirpour et al, 2017 ; Neira et al, 2017 ; VanderWaal et al, 2020 ; Makau et al, 2021 ), the inclusion of empirical animal movement data in these models could increase the accuracy and robustness of phylodynamic inference and is essential for capturing how host population connectivity interacts with spatial drivers of transmission.…”