Seyed Moghadas is an infectious disease modeller whose research includes mathematical and computational modelling in epidemiology and immunology. In particular, he is interested in the theoretical and computational aspects of mathematical models describing the underlying dynamics of infectious diseases, with a particular emphasis on establishing strong links between micro (individual) and macro (population) levels. One important aspect of his research is to develop innovative knowledge translation methods through which existing gaps between theory, policy, and practice are bridged, and modeling outcomes are translated to inform health policy and support decision making. He currently leads a number of national and international projects related to the COVID-19 pandemic.
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