التحليل الجيوإحصائي لجائحة كورونا كوفيد-19 باستخدام نظم المعلومات الجغرافية : نماذج لبعض مناطق المملكة العربية السعودية

Abstract EN

The study of geostatistical analysis based on the available numbers helped clarify the spatial cluster patterns of the Corona Covid-19 pandemic in the kingdom of Saudi Arabia, where the spatial cluster analysis plays an important role in identifying patterns of geographical variation, as it helps in disease monitoring spatially pandemic, and plays a cluster analysis important roles in building spatial models, and the study aims to identify and monitor the spatial spread of the Corona Covid 19 pandemic using geographic information systems in Riyadh region, eastern region and Makkah region, produce a set of digital maps showing quantitative and spatial change, and devise indicators that can help design a policy to track health threats by providing information targeted and updated to understand the progress of the pandemic in the study area.

to achieve this, the study relied on the deductive inductive approach, calculating the incidence of Corona Covid-19, determining spatial automatic correlation, analyzing global spatial trend, and applying spatial cluster analysis to evaluate between variables by matching similarity of sites and features and local Moran analysis to identify hot spots.

the study indicated an increase in infection in the Kingdom of Saudi Arabia in the cities, respectively, in Riyadh, Jeddah, Makkah, al-Ahsa and Dammam.

local Moran's i analysis highlighted the affiliation of the Governor of Harimela in Riyadh to the HL group and no development of hotspots occurred in it, while all of al-Nairiya, Ras Tanura, Qatif, al-Ahsa and Bqaiq belong to the grouping group HH, and it is clear that the Corona Covid-19 pandemic has occurred as a result of the development of the HH hotspots in them.

guidance for controlling the pandemic in the Kingdom and following up the analysis of the HL group with a longer period.