Forecasting the Spread of COVID-19 Using Deep Learning and Big Data Analytics Methods-Reference-Cited by-同舟云学术

Forecasting the Spread of COVID-19 Using Deep Learning and Big Data Analytics Methods

Published:2023-05-03 Issue:4 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Kiganda Cylas,Akcayol Muhammet Ali

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-01801-5.pdf

Reference27 articles.

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2. Africa: COVID-19 Infections (National)—Humanitarian Data Exchange. (2021). Humanitarian Data Exchange. Retrieved October 1, 2021, from https://data.humdata.org/dataset/africa- covid19-infected

3. African Countries by Population (2022)—Worldometer. (2021). Worldometer. Retrieved November 1, 2021, from https://www.worldometers.info/population/countries-in-africa- by-population/

4. Archived: WHO Timeline—COVID-19. (2020, April 28). WHO Timeline. https://www.who.int/news/item/27-04-2020-who-timeline---covid-19

5. Gebretensae YA, Asmelash D. Trend analysis and forecasting the spread of COVID-19 pandemic in Ethiopia using Box-Jenkins modeling procedure. Int J Gen Med. 2021;14:1485–98. https://doi.org/10.2147/ijgm.s306250.

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