The dynamics of dengue in a single, well-mixed population has been studied in several recent publications, including but not limited to Ferguson et al. (1999a) , Schwartz et al. (2005 , Wearing and Rohani (2006) , Bianco et al. (2009) . ADE and cross immunity have been shown to play a fundamental role in mathematical models for the spreading of dengue, causing instability, desynchronization of serotypes, and chaotic outbreaks Cummings et al. 2005; Bianco et al. 2009 ). However, real populations may be spatially heterogeneous. To gain further insight into the wide spectrum of possible dengue dynamics, we relax the assumption of a well-mixed population. The division of a population into spatially distinct patches simulates the potentially heterogeneous environment in which the disease spreads. Spatial heterogeneity has been invoked in the past to account for the persistent character of some infectious diseases (Lloyd and May 1996; Hagenaars et al. 2004) and to explain in-phase and out-of-phase dynamics of diseases (He and Stone 2003) . A multipatch model with age structure has been used to explain bi-and tri-annual oscillations in the spread of measles (Bolker and Grenfell 1995) .