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This article examines the role of megacities in the indirect spread of COVID-19 in Iran. It provides a comprehensive framework for the COVID-19 spread in megacities in Iran and then uses a predictive model based on a deep neural network. Deep learning is a subset of machine learning based on artificial neural networks and has developed various architectures such as deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, restricted Boltzmann machines, and autoencoders sparse coding.