Home About Login Current Archives Announcements Editorial Board
Submit Now For Authors Call for Submissions Statistics Contact
Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44658

Fuzzy Inference Model to Identify the Effects of Vaccination on Covid-19 Outbreak in Tamilnadu, India.

Dr.V. Vijayalakshmi, Dr.K. Guru, Dr. S.Chitra, Dr. T. Isaiyarasi

Abstract

Coronavirus is a deadly disease that affects animals and birds. In most cases, this virus infects humans by causing aerial precipitation of certain fluid secreted by the infected animal or its bodily portion. This virus is more vital than other unintentional viruses. During December 2019, a new coronavirus family named Novel Coronavirus (Covid-19) was discovered inChina, at the place called Wuhan. The number of people infected with this virus has quickly increased in Wuhan and other nations since January 23, 2020.This study proposes a system for classifying and analyzing COVID 19 confirmed cases, cured cases, and deceased as inputs and vaccinated people as outputs for the most populous twelve districts in Tamil Nadu, India, for the trimester tenure fromJuly 2020 to September 2021. This research study can be analyzed using the Fuzzy Mamdani Inference study. This study clearly demonstrates the significance of vaccination in restoring the flourished glory of life, which we have been missing for the past two years.

Keywords

Fuzzy MamdaniModel, Covid 19, Inference system.

Full Text

PDF

References

?>