en <div style=text-align: justify;><strong>Aims:</strong> Due to the terrible effects of 2019 novel coronavirus (COVID-19) on health systems and the global economy, the necessity to study future trends of the virus outbreaks around the world is seriously felt. Since geographical mobility is a risk factor of the disease, it has spread to most of the countries recently. It, therefore, necessitates to design a decision support model to 1) identify the spread pattern of coronavirus and, 2) provide reliable information for the detection of future trends of the virus outbreaks.<br> <strong>Materials & Methods:</strong> The present study adopts a computational intelligence approach to detect the possible trends in the spread of 2019-nCoV in China for a one-month period. Then, a validated model for detecting future trends in the spread of the virus in France is proposed. It uses ANN (Artificial Neural Network) and a combination of ANN and GA (Genetic Algorithm), PSO (Particle Swarm Optimization), and ICA (Imperialist Competitive Algorithm) as predictive models.<br> <strong>Findings:</strong> The models work on the basis of data released from the past and the present days from WHO (World Health Organization). By comparing four proposed models, ANN and GA-ANN achieve a high degree of accuracy in terms of performance indicators.<br> <strong>Conclusion:</strong> The models proposed in the present study can be used as decision support tools for managing and controlling of 2019-nCoV outbreaks.<br> </div> Coronavirus, Pandemic, Artificial Neural Network, Genetic Algorithm 107 113 http://hehp.modares.ac.ir/browse.php?a_code=A-10-54895-1&slc_lang=en&sid=4 Z. Sazvar sazvar@ut.ac.ir 1003194753284600178688 1003194753284600178688 Yes Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran M. Tanhaeean 1003194753284600178689 1003194753284600178689 No Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran S.S. Aria 1003194753284600178690 1003194753284600178690 No Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran A. Akbari 1003194753284600178691 1003194753284600178691 No Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran S.F. Ghaderi 1003194753284600178692 1003194753284600178692 No Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran S.H. Iranmanesh 1003194753284600178693 1003194753284600178693 No Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran