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Realistic Modeling and Simulation of Influenza Transmission Over an Urban Community

The spread of infectious diseases is influenced by the particular configuration of links among individuals in local communities within the larger population. Traditional SIR models do not take into account the spatio-temporal variability and complex structure of interpersonal connections. Here we study the transmission of influenza using a realistic population model. These kinds of models make it possible to monitor the progression of the disease and devise and test possible intervention strategies. Typically, about 15% of adults are vaccinated from a community. We use this knowledge to implement a realistic vaccination strategy which calms the spread of infection.