Modeling the dynamic of COVID-19 with different types of transmissions
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DOI: 10.1016/j.chaos.2021.111188
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References listed on IDEAS
- Din, Anwarud & Khan, Amir & Baleanu, Dumitru, 2020. "Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic model," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
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Cited by:
- Prem Kumar, R. & Santra, P.K. & Mahapatra, G.S., 2023. "Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 741-766.
- Alexander P. Anyutin & Tatiana M. Khodykina & Ekaterina I. Akimova & Elena V. Belova & Ekaterina A. Shashina & Denis V. Shcherbakov & Valentina V. Makarova & Nadezhda N. Zabroda & Anna A. Klimova & Ni, 2022. "Study of the Deep Processes of COVID-19 in Russia: Finding Ways to Identify Preventive Measures," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
- Sabir, Zulqurnain & Raja, Muhammad Asif Zahoor & Guirao, Juan L.G. & Saeed, Tareq, 2021. "Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
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Keywords
Epidemic model; Basic reproduction number; Stability; Vaccination;All these keywords.
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