1. Chyon FA, Suman MNH, Fahim MRI, Ahmmed MS (2022) Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning. J Virol Methods 301:114433
2. Unicef, WHO, IFRC, 2020. Key messages and actions for prevention and control in schools. Key Messages and Actions for COVID-19 Prevention and Control in Schools (March), p. 13. Available at: https://www.who.int/docs/default-source/ coronaviruse/key-messages-and-actions-for-COVID-19-prevention-and-control-inschools-march 2020.pdf?sfvrsn=baf81d52_4#:~:text=COVID-19isa,2019-nCoV.
3. Alazab M et al (2020) COVID-19 prediction and detection using deep learning. Int J Comput Inf Syst Ind Manage Appl 12(April):168–181
4. Bhattacharyya A, Chakraborty T, Rai SHN (2022) Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model. Nonlinear Dyn 107:3025–3040
5. The Global Economic Outlook During the COVID-19 Pandemic: A Changed World (2020). Available at: https://www.worldbank.org/en/news/feature/2020/06/0 8/the-global-economic-outlook-during-the-COVID-19-pandemic-a-changed-world (Accessed: 23 November 2020).