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Fig. 1 | BMC Medicine

Fig. 1

From: Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic

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 SH, exposed EH, infectious IH, and recovered RH compartments, and mosquitoes are divided into susceptible SV, exposed EV, and infectious IV compartments

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