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Chaos, Solitons, and Fractals|May 31, 2021
Using awareness to Z-control a SEIR model with overexposure: Insights on Covid-19 pandemicDeborah Lacitignola, Fasma DieleChaos, Solitons, and Fractals|September 1, 2020
Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countriesMohammad Reza Mahmoudi, Dumitru Baleanu, Zulkefli Mansor, et al.Chaos, Solitons, and Fractals|September 28, 2020
Forecasting emergency department overcrowding: A deep learning frameworkFouzi Harrou, Abdelkader Dairi, Farid Kadri, et al.Chaos, Solitons, and Fractals|September 28, 2020
Solution of a COVID-19 model via new generalized Caputo-type fractional derivativesVedat Suat Erturk, Pushpendra KumarChaos, Solitons, and Fractals|September 28, 2020
Simulation of coronavirus disease 2019 (COVID-19) scenarios with possibility of reinfectionEgor MalkovChaos, Solitons, and Fractals|September 29, 2020
Mathematical analysis of spread and control of the novel corona virus (COVID-19) in ChinaAnwarud Din, Yongjin Li, Tahir Khan, et al.Chaos, Solitons, and Fractals|September 12, 2022
Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year studyManuel Pájaro, Noelia M Fajar, Antonio A Alonso, et al.Chaos, Solitons, and Fractals|November 9, 2021
Mathematical assessment of the dynamics of novel coronavirus infection with treatment: A fractional studyXuan Liu, Saif Ullah, Ahmed Alshehri, et al.Chaos, Solitons, and Fractals|January 11, 2022
A random forest model for forecasting regional COVID-19 cases utilizing reproduction number estimates and demographic dataJoseph Galasso, Duy M Cao, Robert HochbergChaos, Solitons, and Fractals|January 10, 2022
Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvementEunju HwangPageof 36