Background: Over 5.54 million COVID-19 deaths occurred worldwide by the January 2021 and COVID-19 pneumonia remains the commonest cause of death. The current study was conducted to investigate predictors of total severity score in patients with COVID-19 pneumonia who underwent chest CT and in turn be used in setting with limited resource to predict TSS as well as prognosis Materials and Methods: The current study retrospectively evaluated the CT findings in COVID-19 patients with clinical severity using a 25-point visual quantitative assessment and total severity score predictors were determined. A sample of 384 COVID-19 patients was used and Statistical analysis was done using SPSS 25.0. Results: The findings of the current study indicate that age (p < 0.001), vaccination status (p = 0.006), and disease status (p < 0.001) are significant predictors of the total severity score on chest CT scans in patients with COVID-19 pneumonia. Specifically, as age increases, the odds of having a higher total severity score also increase. Conversely, individuals who are vaccinated tend to have lower severity scores, suggesting that COVID-19 vaccination is associated with a reduced likelihood of experiencing severe disease. Additionally, patients with severe COVID-19 pneumonia are more likely to exhibit higher severity scores on Chest CT. Conclusion: Chest CT scan total severity score can be predicted with age, immunization status and disease status classified as mild, moderate, severe and critical covid-19 pneumonia and this score can be used to predict clinical outcome. Recommendation: A large multicenter study can be used to validate current study findings and these clinical predictors can be used in resource limited settings where CT scan accessibility is not ensured.