Temporal and spatial distribution modeling of corona virus spread (Case study: Qom and Mazandaran provinces)

Corona virus is one of the most contagious and infectious diseases of the 21st century, which has spread worldwide since late 2019 in the form of Wuhan pneumonia.The aim of the present study was to model the spatial and temporal dispersion of the corona using the weighted spatial regression model and compare it with the least squares model during the period from March 24, 2020 to late October 2020 using three corona indices including (patients, deceased and Improved) for Qom and Mazandaran provinces. The results showed that the rate of patients for Qom province during the period showed 44.025 percent. While the death toll reached 4.34 percent, which is more scattered in the northwestern and southern parts of Qom cities, but the rate of improvements for this province showed 61.7 percent, which is mostly the spatial distribution of this improvement. Findings can be seen in the central parts of the province. However, the results obtained from the spatial and temporal distribution of corona for Mazandaran province in the present study were different according to the mentioned models, so that the number of patients for this province during the mentioned period The number reached 35.57 percent, but the death toll showed 2.61 percent, most of which were spatially located in the northwestern and southern parts, including (Ramsar, Tonekabon, Kelardasht, Chalous, Noor and Amol). Mazandaran province is the ruler. While the amount of improvements in Mazandaran province using the least squares during the period from March 24, 2017 to late October 2016, is mostly seen in the central parts and small parts of the southern parts of the province.