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Sibling rivalry within inverse Weibull family to predict the COVID-19 spread in South Africa.

Authors :
Hashemi, Farzane
Bekker, Andriette
Smith, Kirsten
Arashi, Mohammad
Source :
Communications in Statistics: Case Studies & Data Analysis. 2022, Vol. 8 Issue 1, p119-132. 14p.
Publication Year :
2022

Abstract

This article draws attention to a comparative study of different members within the inverse Weibull Power Series (IWPS) to analyze the COVID-19 data from South Africa for the period from 27 March to 23 August 2020. A new sibling of the IWPS is introduced, namely the inverse Weibull negative binomial. An EM algorithm is developed for computing the maximum likelihood estimates of the model parameters. The IWPS growth curve model and its special cases are used for prediction of the COVID-19 spread in South Africa. It is found that the IWPS model fits the disease growth of the COVID-19 confirmed cases well with worthy long-term predictions. The IWPS growth curve modeling of South African predicts that the number of confirmed new cases will decrease at the end of November 2020. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23737484
Volume :
8
Issue :
1
Database :
Academic Search Index
Journal :
Communications in Statistics: Case Studies & Data Analysis
Publication Type :
Academic Journal
Accession number :
155516625
Full Text :
https://doi.org/10.1080/23737484.2021.1979433