Mathematical modelling for decision making of lockdown during COVID-19

作者:Ahona Ghosh, Sandip Roy, Haraprasad Mondal, Suparna Biswas, Rajesh Bose

摘要

Due to the recent worldwide outbreak of COVID-19, there has been an enormous change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel, tourism, economy, etc., in all the affected countries. In this scenario, people must be careful and cautious about the symptoms and should act accordingly. Accurate predictions of different factors, like the end date of the pandemic, duration of lockdown and spreading trend can guide us through the pandemic and precautions can be taken accordingly. Multiple attempts have been made to model the virus transmission, but none of them has investigated it at a global level. The novelty of the proposed work lies here. In this paper, first, authors have analysed spreading of the said disease using data collected from various platforms and then, have presented a predictive mathematical model for fifteen countries from first, second and third world for probable future projections of this pandemic. The prediction can be used by planning commission, healthcare organizations and the government agencies as well for creating suitable arrangements against this pandemic.

论文关键词:Lockdown, COVID-19, Corona virus, Ridge regression, 1st world countries, 2nd world countries, 3rd world countries, SIR model, Finite impulse response filter, Python

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论文官网地址:https://doi.org/10.1007/s10489-021-02463-7