Hybrid Multi-Criterion Decision-Making Method to Prioritize the Post-COVID-19 Syndrome Follow Up Care

Abstract

The COVID-19 pandemic in India is a phase of worldwide pandemic caused due to SARS-CoV2. India has the largest number of positive cases in Asia and second highest number in the world. India had four different versions of lockdowns with substantial relaxations. During January 2022, India has release completely all the relaxations. However, most of the infected people are suffering a lot from post-COVID-19 syndrome which has long effects even for months. Mainly, the persons with diabetic, cardiac, asthuma, etc. have major threats and impact for the mitigation of post effects of COVID-19. To analyze and prioritize the preventive measures and follow up cares, this paper proposes a multi-criterion decision analysis TOPSIS model integrated with Grey's theory. TOPSIS is one of the most used techniques in manifold important areas that have been providing uncertain solutions. To overcome the uncertainty in symptoms of the post-COVID-19 infection process, Grey's theory has been integrated.