Fig. 1

A schematic illustration of the computational framework to assess the risk of ZIKV introductions into the contiguous US. a High-resolution (0.025° × 0.025°∼2.5 km × 2.5 km) population density map [59] and Voronoi tessellation of the contiguous US into census areas with a major airport transportation hub at each of their centers [60]. b An example of the census area centered at Miami International Airport. c I: Travel-associated ZIKV infections entering the Miami International Airport. Location of residence of each ZIKV infection is randomly assigned with likelihood proportional to the population density within each census area. II: The probabilistic filter of the risk of exposure to mosquitoes due to socioeconomic factors such as housing conditions, sanitation, and disease awareness. III: Spatiotemporal specific ZIKV transmission dynamics are influenced by environmental factors that are temperature sensitive, including the spatial distribution of Aedes mosquitoes, seasonal mosquito abundance, and ZIKV transmissibility. d Compartmental stochastic ZIKV transmission model used to evaluate the environmental suitability of ZIKV transmission. Humans are divided into susceptible S^H, exposed E^H, infectious I^H, and recovered R^H compartments, and mosquitoes are divided into susceptible S^V, exposed E^V, and infectious I^V compartments