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BEGIN:VEVENT
UID:20260626T005808EDT-7375U9gpv6@132.216.98.100
DTSTAMP:20260626T045808Z
DESCRIPTION:Dynamic Games and Applications Seminar\n\nSpeaker: Massimiliano
  Ferrara\, Mediterranea University of Reggio Calabria\, Italy\n\nZoom link
 \n\nMeeting ID: 962 7774 9870\n\nPass code: 285404\n\nIn this paper\, a no
 vel coronavirus infection system with a fuzzy fractional differential equa
 tion defined in Caputo's sense is developed. By using the fuzzy Laplace me
 thod coupled with Adomian decomposition transform\, numerical results are 
 obtained for better understanding of the dynamical structures of the physi
 cal behavior of COVID-19. Such behavior on the general properties of RNA i
 n COVID-19 is also investigated for the governing model. Due to non-availa
 bility of the vaccination\, delay strategies such as social distancing\, t
 ravel restrictions\, extension in holidays\, use of facemask\, and self- q
 uarantine are the effective treatment to control the pandemic of coronavir
 us. So\, we proposed the delayed susceptible-exposed- infected-recovered m
 odel with nonlinear incidence rate to study the effective role of delay st
 rategies. For this analysis\, we discussed three types of equilibria of th
 e model such as trivial\, coronavirus free and coronavirus existence with 
 delay term. The local and global stabilities are investigated by using wel
 l-posed notation\, Routh Hurwitz criterion\, Lyapunov function\, and Lasal
 le invariance principle.\n
DTSTART:20210128T160000Z
DTEND:20210128T170000Z
LOCATION:CA\, ZOOM
SUMMARY:Fuzzy fractional-order model of the novel coronavirus: The impact o
 f delay strategies on the pandemic dynamics model with nonlinear incidence
  rate
URL:/cim/channels/event/fuzzy-fractional-order-model-n
 ovel-coronavirus-impact-delay-strategies-pandemic-dynamics-model-328073
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