Abstract
The COVID-19 pandemic, caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), has led to a persistent public health crisis
and has become one of the deadliest pandemics in human history. Due to
its high transmissibility, scientists have been researching vaccines and
effective treatments while also investigating its pathogenicity to
better understand and dissect the virus. This understanding will help
determine the appropriate preventive measures needed to protect human
health and collectively combat the pandemic. The statistical analysis
data used in this study are primarily sourced from the Kaggle platform
(Note: Kaggle is a data modeling and analysis competition platform where
companies and researchers can post data, and statisticians and data
mining experts can compete to generate the best models), ensuring its
credibility. In the mathematical models developed for this study, key
concepts from the field of statistics such as the Poisson process and
normal distribution were employed. Calculations and graphical
representations were carried out using Matlab software.