Epidemiological analysis of fractional order COVID-19 model with Mittag-Leffler kernel
dc.authorid | Saleel, C Ahamed/0000-0003-3705-4371 | |
dc.authorid | Farman, Dr. Muhamamd/0000-0001-7616-0500 | |
dc.contributor.author | Farman, Muhammad | |
dc.contributor.author | Akgul, Ali | |
dc.contributor.author | Nisar, Kottakkaran Sooppy | |
dc.contributor.author | Ahmad, Dilshad | |
dc.contributor.author | Ahmad, Aqeel | |
dc.contributor.author | Kamangar, Sarfaraz | |
dc.contributor.author | Saleel, C. Ahamed | |
dc.date.accessioned | 2024-12-24T19:33:59Z | |
dc.date.available | 2024-12-24T19:33:59Z | |
dc.date.issued | 2022 | |
dc.department | Siirt Üniversitesi | |
dc.description.abstract | This paper derived fractional derivatives with Atangana-Baleanu, Atangana-Toufik scheme and fractal fractional Atangana-Baleanu sense for the COVID-19 model. These are advanced techniques that provide effective results to analyze the COVID-19 outbreak. Fixed point theory is used to derive the existence and uniqueness of the fractional-order model COVID-19 model. We also proved the property of boundedness and positivity for the fractional-order model. The Atangana-Baleanu technique and Fractal fractional operator are used with the Sumudu transform to find reliable results for fractional order COVID-19 Model. The generalized Mittag-Leffler law is also used to construct the solution with the different fractional operators. Numerical simulations are performed for the developed scheme in the range of fractional order values to explain the effects of COVID-19 at different fractional values and justify the theoretical outcomes, which will be helpful to understand the outbreak of COVID-19 and for control strategies. | |
dc.description.sponsorship | Institute of Research and Consulting Studies at King Khalid University [35-69-S-2020] | |
dc.description.sponsorship | The authors are thankful to the Institute of Research and Consulting Studies at King Khalid University for supporting this research through grant number #35-69-S-2020. | |
dc.identifier.doi | 10.3934/math.2022046 | |
dc.identifier.endpage | 783 | |
dc.identifier.issn | 2473-6988 | |
dc.identifier.issue | 1 | |
dc.identifier.scopus | 2-s2.0-85117065638 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 756 | |
dc.identifier.uri | https://doi.org/10.3934/math.2022046 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12604/8372 | |
dc.identifier.volume | 7 | |
dc.identifier.wos | WOS:000718878200038 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Amer Inst Mathematical Sciences-Aims | |
dc.relation.ispartof | Aims Mathematics | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_20241222 | |
dc.subject | COVID-19 | |
dc.subject | Sumudu transform | |
dc.subject | ABC derivative | |
dc.subject | fractal operator | |
dc.subject | stability and uniqueness | |
dc.subject | Mittag-Leffler law | |
dc.title | Epidemiological analysis of fractional order COVID-19 model with Mittag-Leffler kernel | |
dc.type | Article |