共 29 条
- [11] Maleki M., Mahmoudi M.R., Heydari M.H., Pho K.H., Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models, Chaos, Solitons Fractals, 140, (2020)
- [12] Maleki M., Mahmoudi M.R., Wraith D., Pho K.H., Time series modelling to forecast the confirmed and recovered cases of COVID-19, Travel Med. Infect. Dis., 37, (2020)
- [13] Medeiros M., Street A., Valladao D., Vasconcelos G., Zilberman E., Short-Term Covid-19 Forecast for Latecomers, Arxiv Preprint, (2020)
- [14] Munoz-Fernandez G.A., Seoane J.M., Seoane-Sepulveda J.B., A SIR-type model describing the successive waves of COVID–19, Chaos, Solitons Fractals, 144, (2021)
- [15] Nakamura G., Grammaticos B., Deroulers C., Badoual M., Effective epidemic model for COVID-19 using accumulated deaths, Chaos, Solitons Fractals, 144, (2020)
- [16] Oliveira T.D.P., Moral R.D.A., Global Short-Term Forecasting of Covid-19 Cases, (2020)
- [17] Pileggi S.F., Life before COVID-19: how was the World actually performing?, Qual. Quant., 55, 5, pp. 1871-1888, (2021)
- [18] Preacher K.J., Selig J.P., Advantages of Monte Carlo confidence intervals for indirect effects, Commun. Methods Meas., 6, 2, pp. 77-98, (2012)
- [19] Salgotra R., Gandomi M., Gandomi A.H., Time series analysis and forecast of the COVID-19 pandemic in India using genetic programming, Chaos, Solitons Fractals, 138, (2020)
- [20] Scortichini M., Dos Santos R.S., De'Donato F., De Sario M., Michelozzi P., Davoli M., Gasparrini A., Excess mortality during the COVID-19 outbreak in Italy: a two-stage interrupted time-series analysis, Int. J. Epidemiol., 49, 6, pp. 1909-1917, (2020)