Mathematical Analysis Of Covid-19 Phenomenon

Öz

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.

Anahtar Kelimeler

• SIR dynamic system
• mathematical modeling
• COVID-19

Kaynakça

1. [1] Anonymous, https://www.worldometers.info/ (30 April 2020).
2. [2] Toda, A.A., “Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and economic impact”, https://arxiv.org/abs/2003.11221.
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.
5. [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. [6] Keeling, M.J., Rohani, P., “Modeling infectious diseases in human and animals”, Princeton University Press, Princeton, (2007).
7. [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. [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. [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. [10] Cousins, S., “Death toll from swine flu in India exceeds”, BMJ 2500 (2015) : 351.
11. [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. [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. [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.