Improved SIR - Covid-19 Prediction Model

SIR (Susceptible-Infected-Removed) model to estimate the peak while a data-driven approach based on past outbreaks is used to predict the decline of the epidemic.

Covid-19 Related Papers

  • Ranjan, A. Sharma, and M. K. Verma, Characterization of the Second Wave of COVID-19 in India, (2021). medrxiv, Under production in “Current Science” journal[Covered in media TV18 Livemint etc.]
  • Sharma, S. Sapkal, and M. K. Verma, Universal epidemic curve for COVID-19 and its usage for forecasting, (2020). PDF
  • K. Verma, A. Ali, and S. Chatterjee, COVID‐19 Pandemic: Power Law Spread and Flattening of the Curve, Trans Indian Natl. Acad. Eng.5, 1 (2020) DOI:
  • Chatterjee, A. Asad, B. Shayak, S. Bhattacharya, S. Alam, and M. K. Verma, Evolution of COVID-19 pandemic: Power-law growth and saturation, JISA, 55, 1-31 (2020). PDF
  • Asad, S. Srivastava, M. K. Verma, Evolution of COVID-19 Pandemic in India, Trans Indian Natl. Acad. Eng. (2020). PDF
  • Rajesh Ranjan.Temporal Dynamics of COVID-19 Outbreak and Future Projections: A Data-driven Approach. Transactions of Indian National Academy of Engineering (2020), pp.1-7. DOI:1007/s41403-020-00112-y
  • Rajesh Ranjan. COVID-19 Spread in India: Dynamics, Modeling, and Future Projections. Journal of Indian Statistical Association (2020) 58. pp. 47-65.Link
  • Rajesh Ranjan. Predictions for COVID-19 outbreak in India using Epidemiological models. medRxiv, 2020. DOI:1101/2020.04.02.20051466
  • Rajesh Ranjan. Estimating the Final Epidemic Size for COVID-19 Outbreak using Improved Epidemiological Models. medRxiv, 2020. DOI:1101/2020.04.12.20061002