This paper is in the following e-collection/theme issue:

Infectious Diseases (non-STD/STI) (1575) Registered Report (560)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19115, first published .
Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model

Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model

Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model

Authors of this article:

Ram Kumar Singh1 Author Orcid Image ;   Meenu Rani2 Author Orcid Image ;   Akshaya Srikanth Bhagavathula3 Author Orcid Image ;   Ranjit Sah4 Author Orcid Image ;   Alfonso J Rodriguez-Morales5 Author Orcid Image ;   Himangshu Kalita6 Author Orcid Image ;   Chintan Nanda6 Author Orcid Image ;   Shashi Sharma7 Author Orcid Image ;   Yagya Datt Sharma8 Author Orcid Image ;   Ali A Rabaan9 Author Orcid Image ;   Jamal Rahmani10 Author Orcid Image ;   Pavan Kumar11 Author Orcid Image
Article Authors Cited by (159) Tweetations (12) Metrics

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  129. Shi Y, Chen Q, Li Q, Luan H, Wang Q, Hu Y, Gao F, Sai X. EpiRiskNet: incorporating graph structure and static data as prior knowledge for improved time-series forecasting. Applied Intelligence 2024;54(17-18):7864 View
  130. Li X, Liu Z, Ge F, Sun G. [Retracted] A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China. Discrete Dynamics in Nature and Society 2022;2022(1) View
  131. Chen J, Shi X, Zhang H, Li W, Li P, Yao Y, Miyazawa S, Song X, Shibasaki R. MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot. IEEE Transactions on Neural Networks and Learning Systems 2024;35(10):13397 View
  132. Abdul Rahman A, Rajasekaran G, Ramalingam R, Meero A, Seetharaman D. From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions. Information 2024;15(11):719 View

Books/Policy Documents

  1. Lv Y, Ren H, Gao X, Sun T, Zhang H, Guo X. Verification and Evaluation of Computer and Communication Systems. View
  2. Kar A, Kar A. Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing. View
  3. Majumder P, Ray P. Artificial Intelligence for Information Management: A Healthcare Perspective. View
  4. Sanchez-Daza A, Medina-Ortiz D, Olivera-Nappa A, Contreras S. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. View
  5. Rodriguez-Morales A, Bonilla-Aldana D. Pandemic Outbreaks in the 21st Century. View
  6. Singh R, Kumar P, Kumar M, Tyagi K, Jain H. Sustainable Agriculture Systems and Technologies. View
  7. Xiu Y, Chan W. AI and Analytics for Public Health. View
  8. Fong S, Marques J, Li G, Dey N, Crespo R, Herrera-Viedma E, Gois F, Neto J. Epidemic Analytics for Decision Supports in COVID19 Crisis. View
  9. Lukman A, Benedicta A, Awotunde J, Okon C, Oludoun O, Oluwakemi A, Ayinde O, Alabi O, Adeniyi A. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. View
  10. Mohanty A, Sahoo S, Taunk A, Garnayak M, Choudhury S. Handbook of Research on Mathematical Modeling for Smart Healthcare Systems. View
  11. Bharathi M, Meghana Kumar K. IOT with Smart Systems. View
  12. Khanna S, Garg M, Aggarwal S, Thakur H. Proceedings of the International Health Informatics Conference. View
  13. Cao L. Global COVID-19 Research and Modeling. View
  14. Rosser P, Soler S. Safeguarding the World Culture Heritage - Advances and New Perspectives [Working Title]. View
  15. Sayed G, Hassanien A. Artificial Intelligence for Environmental Sustainability and Green Initiatives. View
  16. Cinaglia P. Reference Module in Life Sciences. View