JCS Cover
Frequency: Monthly
ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

Prediction of Covid-19 Outbreak in India by Employing Epidemiological Models

Sudheer Reddy K1, Anji Reddy V2, Mamatha K3 and Santhosh Kumar C4
  • 1 Hyderabad, India
  • 2 Lendi Institute of Engineering and Technology, Vizianagaram, India
  • 3 Anurag Group of Institutions, Hyderabad, India
  • 4 Anurag Engineering College, Kodad, India

Abstract

The novel Corona virus (Covid-19) pandemic has frightened an unprecedented challenge to continents. The Covid-19 pandemic is a highly contagious viral disease that has been progressing across the globe. The global thought leaders, doctors, scientists and other intellects have enforced the lockdown to reduce the spread of the pandemic. The objective is to study the impact of lockdown and to compare its effects from an epidemiological standpoint. Authors employed Exponential and SIR (Susceptible, Infected and Removed) epidemiological models for study and analysis. The study reveals that India will enter equilibrium by the end of June with a prediction of 135,000 cases approximately.

Journal of Computer Science
Volume 16 No. 7, 2020, 886-890

DOI: https://doi.org/10.3844/jcssp.2020.886.890

Submitted On: 13 May 2020 Published On: 10 July 2020

How to Cite: K, S. R., V, A. R., K, M. & C, S. K. (2020). Prediction of Covid-19 Outbreak in India by Employing Epidemiological Models. Journal of Computer Science, 16(7), 886-890. https://doi.org/10.3844/jcssp.2020.886.890

Open AccessCopyright: © 2020 Sudheer Reddy K, Anji Reddy V, Mamatha K and Santhosh Kumar C. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 2,692 Views
  • 1,037 Downloads
  • 0 Citations

Download

Keywords

  • Novel Corona Virus
  • COVID-19
  • Outbreak
  • Epidemiological Model
  • SIR Model