Your browser doesn't support javascript.
Fuzzy fractional-order model of the novel coronavirus.
Ahmad, S; Ullah, A; Shah, K; Salahshour, S; Ahmadian, A; Ciano, T.
  • Ahmad S; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
  • Ullah A; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
  • Shah K; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
  • Salahshour S; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey.
  • Ahmadian A; Institute of IR 4.0, The National University of Malaysia, 43600 Bangi, Selangor Malaysia.
  • Ciano T; Department of Law, Economics and Human Sciences & Decisions Lab, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy.
Adv Differ Equ ; 2020(1): 472, 2020.
Article in English | MEDLINE | ID: covidwho-748934
ABSTRACT
In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo's sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation.
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Adv Differ Equ Year: 2020 Document Type: Article

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Adv Differ Equ Year: 2020 Document Type: Article