Mixture Distribution for Modeling Turkey Covid-19 Case

Hendri Fahrizal; Arisman Adnan; Rado Yendra

doi:https://doi.org/10.14445/22315373/IJMTT-V69I1P508

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 69 | Issue 1 | Year 2023 | Article Id. IJMTT-V69I1P508 | DOI : https://doi.org/10.14445/22315373/IJMTT-V69I1P508

Mixture Distribution for Modeling Turkey Covid-19 Case

Hendri Fahrizal, Arisman Adnan, Rado Yendra

Received	Revised	Accepted	Published
26 Nov 2022	30 Dec 2022	09 Jan 2023	18 Jan 2023

Citation :

Hendri Fahrizal, Arisman Adnan, Rado Yendra, "Mixture Distribution for Modeling Turkey Covid-19 Case," International Journal of Mathematics Trends and Technology (IJMTT), vol. 69, no. 1, pp. 56-61, 2023. Crossref, https://doi.org/10.14445/22315373/IJMTT-V69I1P508

Abstract

The COVID-19 pandemic hit the world in early 2020 and caused many deaths in various countries, one of which was Turkey. In March 2020, the first case of COVID-19 was confirmed by the Turkish Ministry of Health. In May 2021, the rise of cases continued to occur until it reached 5.2 million cases with a death toll of 47,271 people. In this research, a model for Turkey’s COVID-19 positive cases had built using a mixed distribution, namely log-normal, gamma and Weibull. Parameter estimation for each distribution was carried out using the maximum likelihood method. Then by using the Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) tests, it was found that the 3-component gamma distribution is the best distribution to describe the pattern of spikes in positive cases of COVID-19 in Turkey.

Keywords

Covid-19, Gamma distribution, Log-normal distribution, Mixed distribution, Turkey, Weibull distribution.

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