Abstract: Background and Objective: The current human Coronavirus 2019 pandemic has wreaked havoc on the entire world and affected all facets of human life. The morbidities and mortalities that have been reported on a daily basis represent one of the most thorough records for this pandemic. The current study, conducted as part of a series of evaluations for this pandemic in different parts of the world, concentrated on the investigational practice and the outbreak analysis by the ministry of health professional authorities. Materials and Methods: The COVID-19-impacted population data were obtained from the South Sudan database. The data was taken from 03 January, 2020 to 13 January, 2023. This work implemented comprehensively detailed new daily cases and deaths-in time order-as valuable public health metrics. The survey would embrace a combination of analytical tools. Results: Data visualization showed that almost half of the reported cases could be observed in the winter while 29.0% of the deaths occurred in the summer periods. The attribute control charts showed the appearance of the epidemic waves with mean values between the control windows. The predominant model that was found describing the outbreak-transformed cumulative indices is Morgan-Mercer-Flodin. Conclusion: The simple, fast, time-saving and user-friendly epidemiological analysis implemented herein for Coronavirus Disease 2019 could potentially be used by public health authorities to assess, study and measure outbreaks for the sack of containment of the microbial spreading among the affected populations.