Abstract
Objective: This study aims to find the best mathematical model for modeling the Covid-19 data of Guyana. Methods: The 2-parameter, 3-parameter Weibull distribution, and the Transmuted Weibull Distribution was used to model the Covid-19 data of Guyana using cumulative deaths that occurred on a daily basis from March 12th, 2020 to November 30th, 2021. The Covid-19 data of Guyana was extracted from the ‘ourworldindata’ website. Findings: The transmuted Weibull distribution is the best model for modeling the Covid-19 data of Guyana since it had the lowest AIC value than the other models. Novelty: Several transmuted distributions were developed to model the Covid-19 data of France, the United Kingdom, and Canada. However, in this study, a different transmuted distribution was chosen to model the Covid-19 data of Guyana. Keywords: Mathematical Modeling; Covid19; Cumulative Deaths; Transmuted Weibull Distribution and Simulation Study
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