ABSTRACT
Wuhan Province in China reported the first case of novel corona virus as pneumonia outbreak during December 2019. The novel coronavirus was soon declared a pandemic by the World Health Organization. On 16th of July 2021, the number of COVID-19 confirmed cases was 188,128,952 globally, out of which 4,059,339 individuals succumbed to this deadly virus. In a short span of time, eight vaccines were approval for emergency use in different nations. The selection of vaccine depends upon many criteria. Concepts from multi-criteria decision making (MCDM) are appropriate to compare and rank them. The paper proposes analytical network processing (ANP) method to rank the eight vaccines according to seven criteria. The study proposes a decision tool to select the best vaccine among the candidate vaccines. A mathematical model based on ANP approach with three clusters having interrelationships within and among the clusters is proposed. © International Journal of Operations Research and Information Systems. All rights reserved.
ABSTRACT
COVID-19 since its discovery and spread have caused major disruption in the regular operation of the industries, schools, universities, business, and hospitals and eventually to the national economy of many countries. It is a highly contagious disease and spreading among communities at a very fast pace. Early detection of COVID-19 infected patients and quarantining them are few possible measures to restrict its spread. Persons infected by COVID-19 demonstrate many symptoms. However, these symptoms are somewhat similar to some of the common diseases like a common cold, viral fever, and body ache which we generally face in our day-to-day life. Hence, most of the medical experts confuse COVID-19 with some very common diseases, and when the actual cause is known by that time the situation becomes worse. In this light, this study proposed a new concept based on soft computing techniques to determine the exact symptoms responsible for COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The “Severe Acute Respiratory Syndrome-Corona Virus-2” (SARS-CoV-2) disease gives a challenge to the healthcare facilities and economic systems across the world. To overcome this COVID-19 pandemic different vaccines are produced across the world like Pfizer-BioNTech, Moderna, AstraZeneca-University of Oxford, Johnson & Johnson, Russia’s Sputnik V, Sinovac Biotech, Novavax, CanSino Biologics, and COVAXIN Bharat Biotech. These vaccines are injected to improved the immunity to fight against the SARS-CoV-2 infection. All these vaccine storage, efficiency, price are different and all vaccines work different variants of the virus. Some of the vaccines are mRNA type, Some are inactivated SARS-CoV-2, some are different. Our work is using the Multi-Criteria Decision Making (MCDM) technique, we ranking the vaccine with respect to different criteria. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.