publication . Article . 2021

Optimal models for estimating future infected cases of COVID-19 in Oman

Ahmed Al-Siyabi; Mehiddin Al-Baali; Anton Purnama;
Open Access English
  • Published: 01 Feb 2021 Journal: General Letters in Mathematics, volume 9, issue 2, pages 53-66 (issn: 2519-9269, eissn: 2519-9277, Copyright policy)
  • Publisher: Refaad
The recent coronavirus disease 2019 (COVID-19) outbreak is of high importance in research topics due to its fast spreading and high rate of infections across the world. In this paper, we test certain optimal models of forecasting daily new cases of COVID-19 in Oman. It is based on solving a certain nonlinear least-squares optimization problem that determines some unknown parameters in fitting some mathematical models. We also consider extension to these models to predict the future number of infection cases in Oman. The modification technique introduces a simple ratio rate of changes in the daily infected cases. This average ratio is computed by employing the ru...
Persistent Identifiers
free text keywords: covid-19, forecasting, data fitting models, least-squares problem, unconstrained optimization methods, lcsh:Mathematics, lcsh:QA1-939, Statistics, Coronavirus disease 2019 (COVID-19)
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