Machine learned hybrid Gaussian analysis of COVID-19 pandemic in India-Reference-Cited by-同舟云学术

Machine learned hybrid Gaussian analysis of COVID-19 pandemic in India

Published:2021-11 Issue: Volume:30 Page:104630
ISSN:2211-3797
Container-title:Results in Physics
language:en
Short-container-title:Results in Physics

Author:

Bhardwaj Shivam,Alowaidi Majed,Bhardwaj Rashmi,Sharma Sunil Kumar

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference42 articles.

1. World Health Organization. 2020. Available at: https://www.who.int/ith/2020-24-01-outbreak-of-Pneumonia-caused-by-new-coronavirus/en/ (accessed January 2020).

2. Ji W, Wang W, Zhao, X et al. J Med Virol 2020; In press. doi: 10.1002/fut.22099.

3. Callaway E & Cyranoski D. 2020. Available at: https://www.nature.com/articles/d41586-020-00180-8 (accessed January 2020).

4. https://www.who.int/health-topics/coronavirus.

5. https://www.thehindu.com/topic/coronavirus/.

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