As COVID-19 was spreading rapidly, the Saudi Arabian government implemented several non-pharmaceutical (as in, non-vaccine-related) prevention measures to keep people safe.This study aimed to measure the impact of these measures using simulation modeling. We wanted to see how effective these non-pharmaceutical steps were in preventing the spread of the virus.
We created a computer model to evaluate the effectiveness of theCOVID-19 prevention measures in Saudi Arabia. Weekly data collection informed the model, which predicted potential infection rates. We compared our predictions with the actual case numbers and analyzed the impact of different strategies, such as remote schooling, on the spread of the virus.
After 18 weeks, our model was 99.6% accurate in predicting the total number of cases.
We found that non-pharmaceutical prevention measures reduced virus spread by 64%.
The most effective measure was switching to remoteschool education, which reduced the spread by 24%.
Our study shows that the COVID-19 prevention measures taken by the SaudiArabian government effectively limited the spread of the virus and saved lives. Using simulation models like Lean’s can inform decision-making in future pandemics.
