Comparison Between Two Systems for Forecasting Covid-19 Infected Cases-Reference-Cited by-同舟云学术

Comparison Between Two Systems for Forecasting Covid-19 Infected Cases

Published:2021 Issue: Volume: Page:107-114
ISSN:1868-4238
Container-title:Computer Science Protecting Human Society Against Epidemics
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Author:

Makarovskikh Tatiana^ORCID,Abotaleb Mostafa^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86582-5_10

Reference11 articles.

1. Abotaleb, M.S.A.: Predicting COVID-19 cases using some statistical models: an application to the cases reported in China Italy and USA. Acad. J. Appl. Math. Sci. 6(4), 32–40 (2020)

2. Abotaleb, M., Makarovskikh, T.: Comparison between two systems for forecasting COVID 19 cumulative infected case (2021). https://rpubs.com/abotalebmostafa/771031

3. Abotaleb, M., Makarovskikh, T.: Two systems for forecasting COVID-19 (2021). https://github.com/abotalebmostafa11/2-systems-for-forecasting-covid-19

4. Azarafza, M., Azarafza, M., Tanha, J.: COVID-19 infection forecasting based on deep learning in Iran. medRxiv (2020)

5. Our World in Data: Daily COVID 19 vaccine doses administrated (2021). https://ourworldindata.org/grapher/daily-covid-19-vaccination-doses

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