Coronavirus Outbreak: Multi-Objective Prediction and Optimization

ABSTRACT

Coronavirus disease-19 (COVID-19) is the name given by World Health Organization (WHO) and the cause of this pandemic is severe acute respiratory syndrome-related coronavirus (SARS-CoV-2). This pandemic was started in China and later got spread throughout the world. As of now, it has affected around 213 countries, areas or territories and the world has eyes on it. This chapter provides the insight on mathematical perception about the coronavirus outbreak and is analyzed from prediction and optimization point of view. Constraints, objectives and measures are identified and their association and dependencies are analyzed from mathematical point of view. Four levels and weighting factors are used for the identified constraints. Presented mathematical formulation can evaluate the count of positive cases, mortality, recovery cases, transmission rate and prediction of peak time period. It is observed that the coronavirus outbreak is the constrained multi-objective prediction and optimization problem and also it is time variant. © 2020, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.