Abstract

The present investigation centers on examining the epidemiological pattern of the COVID-19 pathogen within the jurisdiction of the Kingdom of Saudi Arabia. The study places particular emphasis on the environmental variables and healthcare. The study utilizes a combination of objective approaches, spatial analysis techniques, and statistical models. The utilization of Geographic Information Systems (GIS) and statistical software is prevalent in analyzing data and creating maps to identify spatial patterns and variations in COVID-19. In addition, the study uses artificial intelligence and advanced technology to explore the relationship between access to medical services and the viral epidemiological curve. The examination of the geographical distribution of COVID-19 infections indicates that there are spatial discrepancies among different regions. Areas with high infection rates, such as Riyadh, Makkah Al-Mukarramah, and the Eastern Province, exhibit concentrations of cases exceeding 100,000. Moderate infection rates are observed in regions like Medina and Asir, while lower rates are found in the northern and southern parts of the Kingdom. The findings of hot spot analysis further confirm the concentration of COVID-19 in the central region of the Kingdom, while cold spots are identified in the northern and southern areas. These spatial patterns provide insights into the distribution and intensity of the virus across the country. The study shows the Kingdom's initiatives to restore economic activity and sustainably, including prioritizing essential goods and services, directing government spending to the most affected sectors, and leveraging national talent. These efforts have contributed to the Kingdom's economic recovery and growth. The result of the study provides important insights into the dynamics of the virus. It can be a basis for making informed decisions regarding public health interventions and recovery efforts.