Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management-Reference-Cited by-同舟云学术

Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management

Published:2021 Issue: Volume: Page:11-29
ISSN:2198-4182
Container-title:Artificial Intelligence for COVID-19
language:
Short-container-title:

Author:

Awotunde Joseph Bamidele^ORCID,Jimoh Rasheed Gbenga^ORCID,Oladipo Idowu Dauda^ORCID,Abdulraheem Muyideen^ORCID,Jimoh Taibat Bolanle,Ajamu Gbemisola Janet^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-69744-0_2

Reference78 articles.

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3. Guan, W.J., Ni, Z.Y., Hu, Y., Liang, W.H., Ou, C.Q., He, J.X., Du, B.: Clinical characteristics of coronavirus disease in 2019 in China. N. Engl. J. Med. 382(18), 1708–1720 (2020)

4. Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Zhao, Y.: Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama 323(11), 1061–1069 (2020)

5. Liu, Y., Gayle, A.A., Wilder-Smith, A., Rocklöv, J.: The reproductive number of COVID-19 is higher compared to SARS coronavirus. J. Travel Med. (2020)

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