Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A fuzzy soft coronavirus alarm model Subject The topic of the resource Covid-19 prediction; Fuzzy soft MCDM; PRONE index; Self-organization; Swarm intelligence and Covid Description An account of the resource 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. Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Sukumaran A.; Kureethara J.V. Source A related resource from which the described resource is derived Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, pp. 331-341. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-15533-8.00015-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-15533-8.00015-1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202878134&amp;doi=10.1016%2FB978-0-443-15533-8.00015-1&amp;partnerID=40&amp;md5=25b095e27d388ec87dae35e821982143" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202878134&amp;doi=10.1016%2fB978-0-443-15533-8.00015-1&amp;partnerID=40&amp;md5=25b095e27d388ec87dae35e821982143</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044315533-8; 978-044315532-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalayathankal S.J., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Sukumaran A., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Kureethara J.V., Christ University, Bengaluru, India