Research Article

Mathematical Analysis Of Covid-19 Phenomenon

Volume: 5 Number: 2 August 30, 2020
EN

Mathematical Analysis Of Covid-19 Phenomenon

Abstract

The epidemic is defined as a disease that affects the huge majority of the world, massively infecting people and causing deaths. Negative effects, number of casualties, spreading speeds and start-to-finish time of these outbreaks are different. This difference depends on the domains, the process of vaccination studies, and cured. Today, the virus that causes the world-threatening epidemic is COVID-19. One can find the handling of COVID-19 cases with the SIR (susceptible-infected-recovered) Mathematical Model in the essay. The study carefully examines data from worldometers, establishes the SIR Model, estimates the number of infected people cases in China and South Korea.

Keywords

References

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  3. [3] Ndiaye, B.M., Seck, L.T.D., “Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting”, https://arxiv.org/abs/2004.01574.
  4. [4] Lahariya, C., Sharma, A.K., Pradhan, S.K., “Avian flu and possible human pandemic”, Indian Pediatrics 43 (4) (2006) : 317-325, https://www.ncbi.nlm.nih.gov/pubmed/ 16651670.
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  6. [6] Keeling, M.J., Rohani, P., “Modeling infectious diseases in human and animals”, Princeton University Press, Princeton, (2007).
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  8. [8] Saunders-Hastings, P.R., Krewski, D., “Reviewing the history of pandemic influenza: understanding patterns of emergence and transmission”, Pathogens. 5 (4) (2016) : 66.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Aliye Esenpınar This is me
Türkiye

Süleyman Tek
United States

Publication Date

August 30, 2020

Submission Date

May 18, 2020

Acceptance Date

July 22, 2020

Published in Issue

Year 2020 Volume: 5 Number: 2

APA
Eroglu, E., Bozkurt, E., Esenpınar, A., & Tek, S. (2020). Mathematical Analysis Of Covid-19 Phenomenon. Journal of Engineering Technology and Applied Sciences, 5(2), 59-65. https://doi.org/10.30931/jetas.739270
AMA
1.Eroglu E, Bozkurt E, Esenpınar A, Tek S. Mathematical Analysis Of Covid-19 Phenomenon. JETAS. 2020;5(2):59-65. doi:10.30931/jetas.739270
Chicago
Eroglu, Emre, Eshabil Bozkurt, Aliye Esenpınar, and Süleyman Tek. 2020. “Mathematical Analysis Of Covid-19 Phenomenon”. Journal of Engineering Technology and Applied Sciences 5 (2): 59-65. https://doi.org/10.30931/jetas.739270.
EndNote
Eroglu E, Bozkurt E, Esenpınar A, Tek S (August 1, 2020) Mathematical Analysis Of Covid-19 Phenomenon. Journal of Engineering Technology and Applied Sciences 5 2 59–65.
IEEE
[1]E. Eroglu, E. Bozkurt, A. Esenpınar, and S. Tek, “Mathematical Analysis Of Covid-19 Phenomenon”, JETAS, vol. 5, no. 2, pp. 59–65, Aug. 2020, doi: 10.30931/jetas.739270.
ISNAD
Eroglu, Emre - Bozkurt, Eshabil - Esenpınar, Aliye - Tek, Süleyman. “Mathematical Analysis Of Covid-19 Phenomenon”. Journal of Engineering Technology and Applied Sciences 5/2 (August 1, 2020): 59-65. https://doi.org/10.30931/jetas.739270.
JAMA
1.Eroglu E, Bozkurt E, Esenpınar A, Tek S. Mathematical Analysis Of Covid-19 Phenomenon. JETAS. 2020;5:59–65.
MLA
Eroglu, Emre, et al. “Mathematical Analysis Of Covid-19 Phenomenon”. Journal of Engineering Technology and Applied Sciences, vol. 5, no. 2, Aug. 2020, pp. 59-65, doi:10.30931/jetas.739270.
Vancouver
1.Emre Eroglu, Eshabil Bozkurt, Aliye Esenpınar, Süleyman Tek. Mathematical Analysis Of Covid-19 Phenomenon. JETAS. 2020 Aug. 1;5(2):59-65. doi:10.30931/jetas.739270

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