 The paper proposes a novel statistical approach for analysing the daily coronavirus case and fatality statistics. The survival discretisation method was used to generate a two-parameter discrete distribution known as the discrete martial or king length biased exponential, demolb, distribution. This distribution is adaptable and can be used to represent both over-dispersed and under-dispersed datasets. The parameters of the demolb distribution were estimated using maximum likelihood estimation and Markov chain Monte Carlo methods. The results showed that the demolb distribution provided a better fit than other important discrete models such as the discrete bear xii, discrete bilol, discrete bear hacker, discrete Rayleigh distribution, and Poisson distributions. The datasets used in the paper were collected from 2020 year. This article was authored by Hassan M. Al-Johani, Mohamed Arsenaulhak, Javiri Atsafa, and others. We are article.tv, links in the description below.