“…To explore the effect of these processes, explicitly tracking local epidemiological dynamics across a continuous spatial gradient (as in Smith et al, 2004 andDébarre et al, 2009), as well as approaches based on pair approximations (e.g.,. Sato, Matsuda, & Sasaki, 1994;Levin & Durrett, 1996;Bolker & Pacala, 1997) or even spatially explicit, agent-based stochastic simulations and cellular automata (e.g., Hotchkiss, Strike, Simonson, Broccard, & Crooke, 2005;Murphy, Walshe, & Devocelle, 2008), may complement the patch-occupancy-based models we have proposed here to studying the spatial spread of antimicrobial resistance. Such detailed, stochastic simulations are needed to assess how implementing some of the strategies we explore (e.g., restraining migration or altering the global fitness costs) are likely to slow the spread of antimicrobial resistance in space under more realistic conditions.…”