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Chaos, Solitons, and Fractals|August 25, 2020
Insights into the dynamics and control of COVID-19 infection ratesMark J Willis, Victor Hugo Grisales Díaz, Oscar Andrés Prado-Rubio, et al.
Chaos, Solitons, and Fractals|August 25, 2020
Unravelling the myths of R 0 in controlling the dynamics of COVID-19 outbreak: A modelling perspectiveMohd Hafiz Mohd, Fatima Sulayman
Chaos, Solitons, and Fractals|August 25, 2020
Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic modelAnwarud Din, Amir Khan, Dumitru Baleanu
Chaos, Solitons, and Fractals|August 25, 2020
Forecasting COVID-19 pandemic: A data-driven analysisKhondoker Nazmoon Nabi
Chaos, Solitons, and Fractals|August 25, 2020
Modeling and forecasting the COVID-19 pandemic in IndiaKankan Sarkar, Subhas Khajanchi, Juan J Nieto
Chaos, Solitons, and Fractals|August 25, 2020
Analysis on novel coronavirus (COVID-19) using machine learning methodsMilind Yadav, Murukessan Perumal, M Srinivas
Chaos, Solitons, and Fractals|August 25, 2020
Bibliometric method for mapping the state of the art of scientific production in Covid-19Mohamed El Mohadab, Belaid Bouikhalene, Said Safi
Chaos, Solitons, and Fractals|August 25, 2020
Optimal Control Design of Impulsive SQEIAR Epidemic Models with Application to COVID-19Zohreh Abbasi, Iman Zamani, Amir Hossein Amiri Mehra, et al.
Chaos, Solitons, and Fractals|August 25, 2020
An analysis of COVID-19 spread based on fractal interpolation and fractal dimensionCristina-Maria Păcurar, Bogdan-Radu Necula
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