Journal of Sustainable Urban & Regional Development Studies (JSURDS)

Abstract Background and Aim: The COVID-19 outbreak began in late 2019 and rapidly spread globally. The main objective of this study is to investigate the spatial distribution of the coronavirus disease in the five districts of Ardabil city.
Methods and Material: The research is applied in terms of purpose and descriptive-analytical in terms of nature and method. Spatial statistics methods in Arc GIS software were used to analyze the results. The data collection method was library-based, and the statistical population of the study consisted of individuals infected with coronavirus disease in the five districts of Ardabil city in 2020. Statistical methods including central mean, standard deviation ellipse, and nearest neighbor analysis were used to investigate disease distribution patterns.
Results and Discussion: The results show that the spatial distribution of coronavirus disease in different districts of Ardabil city was heterogeneous. In district one, the values are (z-score: 7.72) and (p-value: 0.000), and the distribution of patients was observed as dispersed and regular with a high concentration in the central part of the city. In district two, the values are (z-score: -4.96) and (p-value: 0.00001), showing a clustered pattern with the disease spreading from southwest to northeast. In district three, the values are (z-score: -0.52) and (p-value: 0.6013), and the distribution of patients was random in the northeast direction. In district four, the values are (z-score: -1.96) and (p-value: 0.094), with a clustered distribution of patients from south to north. In district five, the values are (z-score: -3.24) and (p-value: 0.0011), exhibiting a clustered pattern spreading from east to west.