Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method

Autor: Nahid Fatima, Monika Dhariwal
Rok vydání: 2021
Předmět:
Zdroj: Intelligent Computing Applications for COVID-19 ISBN: 9781003141105
DOI: 10.1201/9781003141105-3
Popis: In this chapter we will have three differential equations for COVID-19 by the introduction of the SIR model. We have taken into account the number of people who became sick from coronavirus in India before September 29, 2020. With the help of this data, we have formulated differential equations for COVID-19 with the help of the SIR model and solved these equations by using the homotopy perturbation method (HPM). HPM solves the most difficult equations with ease and requires minimal calculations. In the current research work we shall discuss the impact of the novel coronavirus on the education sector. In this paper we have taken into account 74,196,729 susceptible persons, and the total confirmed cases of COVID-19 in India on September 29, 2020 was 6,223,519, recovered was 5,184,723, active cases 940,384, and deaths 97,527. We can extend this work by taking data from November 29 and predicted susceptible, infected, and recovered on December 14. Hence, we can give more predictions for COVID-19.
Databáze: OpenAIRE