International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Analyzing the Impact of Lockdown on COVID-19 Pandemic in Saudi Arabia

  • Gyani, Jayadev (Department of Computer Science, College of Computer and Information Sciences, Majmaah University) ;
  • Haq, Mohd Anul (Department of Computer Science, College of Computer and Information Sciences, Majmaah University) ;
  • Ahmed, Ahsan (Department of Information Technology, College of Computer and Information Sciences, Majmaah University)
  • Received : 2022.04.05
  • Published : 2022.04.30
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Abstract

The spread of Omicron, a mutated version of COVID-19 across several countries is leading to the discussion of lockdown once again for curbing the spread of the new virus. In this context, this research is showing the impact of lockdown for the successful control of the COVID-19 pandemic in Saudi Arabia. The outbreak of the COVID-19 pandemic around the globe has affected Saudi Arabia with around 2,37,803 confirmed cases within the initial 4 months of transmission. Saudi Arabia has announced a 21-day lockdown from March 23, 2020, to reduce the transmission of the COVID-19 pandemic. Machine Learning-based, Multinomial logistic regression was applied to understand the relationship between daily COVID-19 confirmed cases and lockdown in the 17 most-affected cities of KSA. We used secondary published data from the Ministry of Health, KSA daily dataset of COVID-19 confirmed case counts. These 17 cities were categorized into 4 classes based on lockdown dates. A total of three scenarios such as night lockdown, full lockdown, and no lockdown have been analyzed with the total number of confirmed cases with 4 classes. 15 out of 17 cities have shown a strong correlation with a confidence interval of 95%. These findings provide evidence that the COVID-19 pandemic may be partially suppressed with lockdown measures.

Keywords

Acknowledgement

Jayadev Gyani would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work under Project No. R-2022-87.

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