Spatio-temporal analysis of the COVID-19 pandemic in Iran

Globally, the COVID-19 pandemic is a top-level public health concern. This paper an attempt to identify and in Iran using spatial analysis approaches. study was based on secondary data of confirmed cases, deaths, recoveries, number hospitals, hospital beds population from March 2, 2019 end November 2021 31 provinces hospitals website National Institute Health. In this paper, three geographical models ArcGIS10.3 were utilized analyze evaluate COVID-19, including Geographic Weight Regression (GWR), Getis-OrdGi* (G-i-star) statistics (hot cold spot), Moran autocorrelation analysis. statistics, GWR model, demonstrated that deaths recoveries followed clustering pattern for cases index during period. The Z-score all indicators which greater than 2.5 (95% confidence level). (G-I-Star) spot) revealed wide range levels six variables (confirmed population, beds, hospital) across Iran's provinces. overall exceeded central southern regions, Qom, Alborz, Tehran, Markazi, Isfahan, Razavi Khorasan, East Azerbaijan, Fars, Yazd, had largest Index 14.314. results research can pave way future studies.