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American Journal of Business and Operations Research

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Online: 2692-2967 Print: 2770-0216
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American Journal of Business and Operations Research
Short review

Volume 5Issue 2PP: 85-90 • 2021

Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model

Divya S 1* ,
Vijay Kumar Sinha 1 ,
Shruti Aggarwal 1
1Department of CSE, Chandigarh University, Punjab, India
* Corresponding Author.
Received: May 19, 2021 Accepted: October 15, 2021

Abstract

In this paper, a methodology for dissecting information of the coronavirus has been introduced and the conduct of the coronavirus in India has been concentrated with the assistance of the epidemiological SIR model. The model considered is of the sort of "nonstop contamination" according to which tainted occupants proceeded in a similar compartment until getting recuperated by treatment or demise. The forecast depends on gathered auxiliary information for a specific period from the online assets. SIR(Susceptible, Invective, Removed Class) model has been applied to the information and in the wake of breaking down the security of the differential conditions, the condition appears to be insecure and seen that the destructive infection must be controlled with wellbeing measures however isn't be destroyed soon.

Keywords

Computational models covid-19 WHO Susceptible Invectives &nbsp &nbsp Removed Class &nbsp Susceptible Invectives

References

[1]      Kermack. W. O and McKendrick. A. G, A Contributions to the Mathematical Theory of epidemics, Proc. Royal Soc. A, 115: 700-721, 1927.

[2]      Covid-19 Pandemic, https://en.wikipedia.org/wiki/COVID-19_pandemic

[3]      Coronavirus India Updates: Number Of Covid-19 Cases Rises To 283. ( https://www.bloombergquint.com/coronavirus-outbreak/coronavirus-india-updates-total-confirmed-cases-in-india-deaths-casualty-measures-government-health-ministry-safety
Copyright © BloombergQuint)  Published on March 19, 20. 

[4]      Kucharski, A.J., Russell, T.W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., Eggo, R.M., Sun, F., Jit, M., Munday, J.D. and Davies, N., Early dynamics of transmission and control of COVID-19: a mathematical modeling study. The Lancet infectious diseases, pp.553-558, 2020. 

[5]      Lin, Q., Zhao, S., Gao, D., Lou, Y., Yang, S., Musa, S.S., Wang, M.H., Cai, Y., Wang, W., Yang, L. and He, D., 2020. A conceptual model for the outbreak of Coronavirus disease (COVID-19) in Wuhan, China with individual reaction and governmental action. International journal of infectious diseases, 2019.

[6]      Lin, Q., Chiu, A.P., Zhao, S. and He, D., Modeling the spread of Middle East respiratory syndrome coronavirus in Saudi Arabia. Statistical methods in medical research, 27(7), pp.1968-1978, 2018.

[7]      Khan, M.A., and Atangana, A., Modeling the dynamics of novel coronavirus (2019-Nov) with fractional derivative. Alexandria Engineering Journal, 2020

[8]      Sen S., Singeravalu N., Data | India's coronavirus infection rates are among the highest in Asia.The Hindu 27 April 2020. (https://www.thehindu.com/data/indias-coronavirus-infection-rates-are-among-the-highest-in-asia/article31440360.ece)

[9]      Dhanwant, J.N., and Ramanathan, V., Forecasting COVID 19 growth in India using Susceptible-Infected-Recovered (SIR) model. arXiv preprint arXiv:2004.00696, 2020.

[10]      M. Kumar, P. Mukherjee, K. Verma, S. Verma, and D. B. Rawat, "Improved Deep Convolutional Neural Network-based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks," in IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2021.3098011.

[11]   Tanvi Sharma, et al.. (2017) Intelligent Heart Disease Prediction System Using Machine Learning: A Review, International Journal of Recent Research Aspects, ISSN: 2349-7688, Vol. 4, Issue 2, pp. 94-97.

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S, Divya, Sinha, Vijay Kumar, Aggarwal, Shruti. "Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model." American Journal of Business and Operations Research, vol. Volume 5, no. Issue 2, 2021, pp. 85-90. DOI: https://doi.org/10.54216/AJBOR.050202
S, D., Sinha, V., Aggarwal, S. (2021). Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model. American Journal of Business and Operations Research, Volume 5(Issue 2), 85-90. DOI: https://doi.org/10.54216/AJBOR.050202
S, Divya, Sinha, Vijay Kumar, Aggarwal, Shruti. "Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model." American Journal of Business and Operations Research Volume 5, no. Issue 2 (2021): 85-90. DOI: https://doi.org/10.54216/AJBOR.050202
S, D., Sinha, V., Aggarwal, S. (2021) 'Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model', American Journal of Business and Operations Research, Volume 5(Issue 2), pp. 85-90. DOI: https://doi.org/10.54216/AJBOR.050202
S D, Sinha V, Aggarwal S. Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model. American Journal of Business and Operations Research. 2021;Volume 5(Issue 2):85-90. DOI: https://doi.org/10.54216/AJBOR.050202
D. S, V. Sinha, S. Aggarwal, "Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model," American Journal of Business and Operations Research, vol. Volume 5, no. Issue 2, pp. 85-90, 2021. DOI: https://doi.org/10.54216/AJBOR.050202
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