Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Background: Ever since the Coronavirus disease (COVID-19) outbreak emerged in China, there has been several attempts to predict the epidemic across the world with varying degrees of accuracy and reliability. This paper aims to carry out a short-term projection of new cases; forecast the maximum numb...

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Bibliographic Details
Main Authors: B. Malavika, S. Marimuthu, Melvin Joy, Ambily Nadaraj, Edwin Sam Asirvatham, L. Jeyaseelan
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Clinical Epidemiology and Global Health
Subjects:
COVID-19
Logistic growth model
SIR model
Time interrupted regression model
Projection
Online Access:http://www.sciencedirect.com/science/article/pii/S2213398420301639

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