Abstract:

The coronavirus pandemic disease 2019 (COVID-19) caused by the outbreak of SARS-CoV-2 The worst respiratory diseases and since the outbreak of this epidemic globally at the end of 2019 and currently paralyzing the entire global fabric of human social, economic and political life, and despite concerted efforts around the world to reduce and prevent it, there is still a lack of understanding of its origin, transmission and methods of treatment. Understanding the impact of COVID-19 factors helps mitigate its spread, but there is little research on the geographic distribution and spatial analysis of this pandemic. Understanding this spatial pattern or distribution is therefore critical to identifying those most at risk and for allocating resources and appropriate responses to hotspots. Spatial analysis is required to identify groups of areas most affected and to understand the associations with vulnerability factors, such as low-income areas. It is possible to assess disease risks, trends in outbreaks across time and space, and points of infection. In addition, these methods may relate to the design, planning and distribution of international health resources for treatment, control, and prevention facilities. Therefore, this study aimed to investigate the dynamics of the trend by studying the distribution of the spread of the Corona virus based on modern methods represented by geographic information systems by knowing the distribution of the spread of the virus, the neighborhood link and the direction of distribution.

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