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Comment
. 2020 Nov-Dec;14(6):1989-1990.
doi: 10.1016/j.dsx.2020.10.006. Epub 2020 Oct 14.

Comments on "ARIMA modelling & forecasting of COVID-19 in top five affected countries"(by Sahai et al.)

Tadeusz Kufel  1 , Paweł Kufel  2
Affiliations
Comment

Comments on "ARIMA modelling & forecasting of COVID-19 in top five affected countries"(by Sahai et al.)

Tadeusz Kufel et al. Diabetes Metab Syndr. 2020 Nov-Dec.
No abstract available

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Conflict of interest statement

Declaration of competing interest The authors declare no conflict of interest regarding this article.

Figures

Fig. 1
Fig. 1
Actual values, forecast with 95% confidence interval and forecast from Refs. [1] for Brazil.
Fig. 2
Fig. 2
Actual values, forecast with 95% confidence interval and forecast from Refs. [1] for Russia.
See this image and copyright information in PMC

Comment on

References

    1. Sahai A.K., Rath N., Sood V., Singh M.P. ARIMA modelling & forecasting of COVID-19 in top five affected countries. Diabetes, Metabol. Syndrome: Clin Res Rev. 2020;14(5):1419–1427. doi: 10.1016/j.dsx.2020.07.042. ISSN 1871–4021. - DOI - PMC - PubMed
    1. Benvenuto D., Giovanetti M., Vassallo L., Angeletti S., Ciccozzi M. Application of the ARIMA model on the COVID-2019 epidemic dataset, Data in Brief. 2020;29 doi: 10.1016/j.dib.2020.105340. ISSN 2352–3409. - DOI - PMC - PubMed
    1. Ceylan Z. Estimation of COVID-19 prevalence in Italy, Spain, and France. Sci Total Environ. 2020;729 doi: 10.1016/j.scitotenv.2020.138817. ISSN 0048–9697. - DOI - PMC - PubMed
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    1. Kufel T. ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries, Equilibrium. Quar. J. Econ. Econ. Pol. 2020;15(2):181–204. doi: 10.24136/eq.2020.009. - DOI