A Decision Support System for Scheduling Lockdown in COVID-19 Pandemic

ABSTRACT

COVID-19 has been the talk of the town for the past one and half year with lockdowns being implemented at various phases. The lockdown implementations have been at random and could have been handled better in a systematic approach. Our paper proposes an intelligent scheduling approach in dynamic time quantum round robin for scheduling lockdown in this pandemic by exploiting round robin scheduling algorithm with added intelligence. The systematic lockdown is essential because of the fact that the virus spreads through people mostly with either no symptoms or mild symptoms. The ability of persons with no symptoms to spread the disease can be decremented by our intelligent approach of lockdown by manipulating the quantum slice in the round robin scheduling algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.