Muhammad Naveed, D. Baleanu, A. Raza, M. Rafiq, Atif Hassan Soori
{"title":"脊髓灰质炎延迟流行模型的计算机模拟治疗","authors":"Muhammad Naveed, D. Baleanu, A. Raza, M. Rafiq, Atif Hassan Soori","doi":"10.32604/cmc.2022.020112","DOIUrl":null,"url":null,"abstract":": Through the study, the nonlinear delayed modelling has vital sig-nificance in the different field of allied sciences like computational biology, computational chemistry, computational physics, computational economics and many more. Polio is a contagious viral illness that in its most severe form causes nerve injury leading to paralysis, difficulty breathing and sometimes death. In recent years, developing regions like Asia, Africa and sub-continents facing a dreadful situation of poliovirus. That is the reason we focus on the treatment of the polio epidemic model with different delay strategies in this article. Polio delayed epidemic model is categorized into four compartments like susceptible, exposed, infective and vaccinated classes. The equilibria, positivity, boundedness, and reproduction number are investigated. Also, the sensitivity of the parameters is analyzed. Well, known results like the Routh Hurwitz criterion and Lyapunov function stabilities are investigated for polio delayed epidemic model in the sense of local and global respectively. Further-more, the computer simulations are presented with different traditions in the support of the analytical analysis of the polio delayed epidemic model.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"59 10","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Treatment of Polio Delayed Epidemic Model via Computer Simulations\",\"authors\":\"Muhammad Naveed, D. Baleanu, A. Raza, M. Rafiq, Atif Hassan Soori\",\"doi\":\"10.32604/cmc.2022.020112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Through the study, the nonlinear delayed modelling has vital sig-nificance in the different field of allied sciences like computational biology, computational chemistry, computational physics, computational economics and many more. Polio is a contagious viral illness that in its most severe form causes nerve injury leading to paralysis, difficulty breathing and sometimes death. In recent years, developing regions like Asia, Africa and sub-continents facing a dreadful situation of poliovirus. That is the reason we focus on the treatment of the polio epidemic model with different delay strategies in this article. Polio delayed epidemic model is categorized into four compartments like susceptible, exposed, infective and vaccinated classes. The equilibria, positivity, boundedness, and reproduction number are investigated. Also, the sensitivity of the parameters is analyzed. Well, known results like the Routh Hurwitz criterion and Lyapunov function stabilities are investigated for polio delayed epidemic model in the sense of local and global respectively. Further-more, the computer simulations are presented with different traditions in the support of the analytical analysis of the polio delayed epidemic model.\",\"PeriodicalId\":10440,\"journal\":{\"name\":\"Cmc-computers Materials & Continua\",\"volume\":\"59 10\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cmc-computers Materials & Continua\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.32604/cmc.2022.020112\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cmc-computers Materials & Continua","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.32604/cmc.2022.020112","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Treatment of Polio Delayed Epidemic Model via Computer Simulations
: Through the study, the nonlinear delayed modelling has vital sig-nificance in the different field of allied sciences like computational biology, computational chemistry, computational physics, computational economics and many more. Polio is a contagious viral illness that in its most severe form causes nerve injury leading to paralysis, difficulty breathing and sometimes death. In recent years, developing regions like Asia, Africa and sub-continents facing a dreadful situation of poliovirus. That is the reason we focus on the treatment of the polio epidemic model with different delay strategies in this article. Polio delayed epidemic model is categorized into four compartments like susceptible, exposed, infective and vaccinated classes. The equilibria, positivity, boundedness, and reproduction number are investigated. Also, the sensitivity of the parameters is analyzed. Well, known results like the Routh Hurwitz criterion and Lyapunov function stabilities are investigated for polio delayed epidemic model in the sense of local and global respectively. Further-more, the computer simulations are presented with different traditions in the support of the analytical analysis of the polio delayed epidemic model.
期刊介绍:
This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials.
Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.