Mathematical prediction of the spreading rate of COVID-19 using entropy-based thermodynamic model-Reference-Cited by-同舟云学术

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Mathematical prediction of the spreading rate of COVID-19 using entropy-based thermodynamic model

Published:2021-01-02 Issue:12 Volume:95 Page:2567-2573
ISSN:0973-1458
Container-title:Indian Journal of Physics
language:en
Short-container-title:Indian J Phys

Author:

Ghanbari A.,Khordad R.,Ghaderi-Zefrehei Mostafa

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

Link

https://link.springer.com/content/pdf/10.1007/s12648-020-01930-0.pdf

Reference47 articles.

1. W H Organization WHO Statement Regarding Cluster of Pneumonia Cases in Wuhan, China (Beijing: WHO) 9 12 (2020)

2. N Zhu, et al. New England Journal of Medicine 385 543 (2020)

3. C W Lam, M H Chan and C K Wong Clinical Biochemist Reviews 25 121 (2004)

4. E I Azhar, et al. Infectious Disease Clinics 33 891 (2019)

5. D Tyrrell and M Bynoe Lancet 12 76 (1966)

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1. Prediction of the morbidity and mortality rates of COVID-19 in Egypt using non–extensive statistics;Scientific Reports;2023-06-21

2. A Statistical Analysis of Covid-19 Pandemic Based on the Temporal Evolution of Entropy in Different Countries;Türkiye Halk Sağlığı Dergisi;2022-03-13

3. Systems analysis shows that thermodynamic physiological and pharmacological fundamentals drive COVID‐19 and response to treatment;Pharmacology Research & Perspectives;2022-02

4. Non-extensive thermodynamic entropy to predict the dynamics behavior of COVID-19;Physica B: Condensed Matter;2022-01

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