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Mathematical Analysis Of Covid-19 Phenomenon

Year 2020, , 59 - 65, 30.08.2020
https://doi.org/10.30931/jetas.739270

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.

References

  • [1] Anonymous, https://www.worldometers.info/ (30 April 2020).
  • [2] Toda, A.A., “Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and economic impact”, https://arxiv.org/abs/2003.11221.
  • [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] 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.
  • [5] Cetin, E., Kiremitci, T., “Matematiksel epidemiyoloji: Pandemik A/H1N1 gribi vakası”, Journal of the School of Business Administration 38 (2009) : 197-209 (in Turkish).
  • [6] Keeling, M.J., Rohani, P., “Modeling infectious diseases in human and animals”, Princeton University Press, Princeton, (2007).
  • [7] Worobey, M., Rambaut, A., Pybus, O.G., Robertson, D.L., Gibbs, M.J., Armstrong, J.S., Gibbs, A.J., “Questioning the evidence for genetic recombination in the 1918 Spanish Flu virus”, Science. 296 (5566) (2000).
  • [8] Saunders-Hastings, P.R., Krewski, D., “Reviewing the history of pandemic influenza: understanding patterns of emergence and transmission”, Pathogens. 5 (4) (2016) : 66.
  • [9] Hall, R.C.W., Chapman, M.J., “The 1995 Kikwit Ebola outbreak: lessons hospitals and physicians can apply to future viral epidemics”, General Hospital Psychiatry 30 (5) (2008) : 446-452.
  • [10] Cousins, S., “Death toll from swine flu in India exceeds”, BMJ 2500 (2015) : 351.
  • [11] Adih, W.K., Selik, R.M, Hall, H.I., Babu, A.S., Song, R., “Associations and trends in cause-specific rates of death among persons reported with HIV infection, 23 U.S. jurisdictions, through 2011”, The Open AIDS Journal 19 (2016) : 144-157.
  • [12] Kermack, W.O., McKendrick, A.G., “A contribution to the mathematical theory of epidemics”, Proceeding of the Royal Society A 115 (772) (1927).
  • [13] Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., “Pathological findings of Covid-19 associated with acute respiratory distress syndrome”, The Lancet 8 (4) (2020) : 420-422.
Year 2020, , 59 - 65, 30.08.2020
https://doi.org/10.30931/jetas.739270

Abstract

References

  • [1] Anonymous, https://www.worldometers.info/ (30 April 2020).
  • [2] Toda, A.A., “Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and economic impact”, https://arxiv.org/abs/2003.11221.
  • [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] 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.
  • [5] Cetin, E., Kiremitci, T., “Matematiksel epidemiyoloji: Pandemik A/H1N1 gribi vakası”, Journal of the School of Business Administration 38 (2009) : 197-209 (in Turkish).
  • [6] Keeling, M.J., Rohani, P., “Modeling infectious diseases in human and animals”, Princeton University Press, Princeton, (2007).
  • [7] Worobey, M., Rambaut, A., Pybus, O.G., Robertson, D.L., Gibbs, M.J., Armstrong, J.S., Gibbs, A.J., “Questioning the evidence for genetic recombination in the 1918 Spanish Flu virus”, Science. 296 (5566) (2000).
  • [8] Saunders-Hastings, P.R., Krewski, D., “Reviewing the history of pandemic influenza: understanding patterns of emergence and transmission”, Pathogens. 5 (4) (2016) : 66.
  • [9] Hall, R.C.W., Chapman, M.J., “The 1995 Kikwit Ebola outbreak: lessons hospitals and physicians can apply to future viral epidemics”, General Hospital Psychiatry 30 (5) (2008) : 446-452.
  • [10] Cousins, S., “Death toll from swine flu in India exceeds”, BMJ 2500 (2015) : 351.
  • [11] Adih, W.K., Selik, R.M, Hall, H.I., Babu, A.S., Song, R., “Associations and trends in cause-specific rates of death among persons reported with HIV infection, 23 U.S. jurisdictions, through 2011”, The Open AIDS Journal 19 (2016) : 144-157.
  • [12] Kermack, W.O., McKendrick, A.G., “A contribution to the mathematical theory of epidemics”, Proceeding of the Royal Society A 115 (772) (1927).
  • [13] Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., “Pathological findings of Covid-19 associated with acute respiratory distress syndrome”, The Lancet 8 (4) (2020) : 420-422.
There are 13 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Research Article
Authors

Emre Eroglu

Eshabil Bozkurt

Aliye Esenpınar This is me

Süleyman Tek

Publication Date August 30, 2020
Published in Issue Year 2020

Cite

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