COVID-19 Epidemic Analysis and Prediction Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

COVID-19 Epidemic Analysis and Prediction Using Machine Learning Algorithms

Published:2021 Issue: Volume: Page:57-78
ISSN:2198-4182
Container-title:Studies in Systems, Decision and Control
language:
Short-container-title:

Author:

Solanki Arun,Singh Tarana

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-60039-6_3

Reference66 articles.

1. Stoecklin, S.B., Rolland, P., Silue, Y., Mailles, A., Campese, C., Simondon, A., Mechain, M., et al.: First cases of coronavirus disease 2019 (COVID-19) in France: surveillance, investigations and control measures, January 2020. Euro Surveill. 25(6), 2000094 (2020)

2. Github repository. 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE. https://github.com/CSSEGISandData/COVID-19. Accessed 31 Mar 2020

3. WHO coronaviruses (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Accessed 30 Mar 2020

4. Prasad, S., Potdar, V., Cherian, S., Abraham, P., Basu, A.: Transmission electron microscopy imaging of SARS-CoV-2. Indian J. Med. Res. 151, 241–243 (2020)

5. Leppard, G.G.: Evaluation of electron microscope techniques for the description of aquatic colloids. In: Environmental Particles, pp. 231–289. CRC Press, Boca Raton (2019)

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