A fuzzy soft coronavirus alarm model

Title

A fuzzy soft coronavirus alarm model

Creator

Kalayathankal S.J.; Sukumaran A.; Kureethara J.V.

Description

The entire world experienced a rampant outbreak of Covid-19 beginning in December 2019. The spread of this disease was so rapid and aggressive that many developed countries struggled to control it. However, some countries such as China and Australia have done a commendable job of controlling this virus. Various studies have been done in parallel to analyze strategies to curb the spread of the virus. In many locations, people displayed swarm intelligence. The collective behavior of people was mixed. Some people followed the instructions of the health authorities. In addition to the instructions, people in some localities developed self-organization to resist the spreading of the virus. This research work mainly focuses on the prediction of coronavirus spread in different districts of Kerala by use of a fuzzy approach as the fuzzy approach is considered the best tool that would not show imprecise data in any situation. The PRONE (Predicted Risk of New Event) indexing algorithm was used for finding the intensity of the spread in five districts of Kerala (Trivandrum, Ernakulam, Kozhikode, Kannur, and Kasargod) and was evaluated under the input parameters of immunity of person, food habits, financial factors, and age with the total number of infected people as the output variable. An eight-step algorithm is provided to determine the PRONE index. Kasargod is more vulnerable to the virus. The final results show that this proposed model better predicts virus spread. 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.

Source

Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, pp. 331-341.

Date

2024-01-01

Publisher

Elsevier

Subject

Covid-19 prediction; Fuzzy soft MCDM; PRONE index; Self-organization; Swarm intelligence and Covid

Coverage

Kalayathankal S.J., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Sukumaran A., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Kureethara J.V., Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-044315533-8; 978-044315532-1

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1016/B978-0-443-15533-8.00015-1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202878134&doi=10.1016%2fB978-0-443-15533-8.00015-1&partnerID=40&md5=25b095e27d388ec87dae35e821982143