Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations-Reference-Cited by-同舟云学术

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Modeling Covid-19 Infection Cases and Vaccine in 5 Countries Highly Vaccinations

Published:2021-12-10 Issue: Volume: Page:
ISSN:2148-1830
Container-title:Turkish Journal of Mathematics and Computer Science
language:
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Author:

ABOTALEB Mostafa,MAKAROVSKİKH Tatiana,YONAR Harun,MİSHRA Pradeep,BADR Amr,KARAKAYA Kadir,YONAR Aynur

Publisher

Turkish Journal of Mathematics and Computer Science, Association of Mathematicians

Reference22 articles.

1. [1] Abotaleb, M.S.A., Predicting COVID-19 cases using some statistical models: An application to the cases reported in China Italy and USA, Academic Journal of Applied Mathematical Sciences, 6(4)(2020), 32–40. doi.org/10.32861/ajams.64.32.40.

2. [2] Abotaleb, M.S.A., Makarovskikh, T., The Research of Mathematical Models for Forecasting Covid-19 Cases, In: Strekalovsky A., Kochetov Y., Gruzdeva T., Orlov A. (eds) Mathematical Optimization Theory and Operations Research: Recent Trends. MOTOR 2021. Communications in Computer and Information Science, vol 1476. Springer, Cham., 2021. https://doi.org/10.1007/978-3-030-86433-0_21.

3. [3] Abotaleb, M.S.A., Makarovskikh, T.A., Development of algorithms for choosing the best time series models and neural networks to predict COVID-19 cases, Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control, Radio Electronics, 21(3)(2021), 26-–35. DOI:10.14529/ctcr210303.

4. [4] Abotalebi, M., Makarovskikh, T., System for forecasting COVID-19 cases using time-series and neural networks models, Engineering Proceedings, 5(1)(46)(2021). https://doi.org/10.3390/engproc2021005046.

5. [5] Bubar, K.M., Reinholt, K., Kissler, S.M., Lipsitch, M., Cobey, S. et al., . Model-informed COVID-19 vaccine prioritization strategies by age and serostatus, Science, 371(6532)(2021), 916–921.

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