Investigation of COVID-19 Using an Artificial Intelligence Based Approach

ABSTRACT

The infectious disease COVID-19 is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) which has become a pandemic. RT-PCR test is implemented in most of the countries to diagnose the disease. Prioritizing individuals for RT-PCR test is necessary in this pandemic situation. In this scenario, we have attempted to propose and analyze two models on the vulnerability of COVID-19 for a person using fuzzy inference system (FIS) based on whether or not the person has a travelling history. To formulate these two models we have used Mamdani type Fuzzy Inference System. In these two models, ‘Hygiene’, ‘Immunity’, ‘Quarantine’ and ‘Home-isolation’ are taken as the inputs and ‘Vulnerability to COVID-19’ is taken as the output variable. A thorough study of these two models using FIS is done which suggests in what percentage a person is vulnerable to COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.