Determining the most significant variables affecting the spread of the coronavirus using the Geographic Information System (GIS) and Shannon entropy analysis (Case Study: Nour City)
seyed hassan rasouli
1
(
PhD Student, Geography and Urban Planning, Islamic Azad University, Central Tehran Branch, Iran
)
Sadroddin Motevalli
2
(
Associate Professor, Department of Geography, Islamic Azad University, Nour branch
)
Elahe Kozegar Kaleji
3
(
: Master of Urban Planning, Islamic Azad University, Nour Branch, Nour, Iran.
)
Mohammadali Kozegar Kaleji
4
(
Executive Master of Business Administration, Iran University of Science and Technology, Tehran, Iran.
)
Keywords: Covid-19, Temporal-spatial factors, Environmental hazards, geographic information system, Nour,
Abstract :
In recent decades, various governmental, communal, and administrative and political organizations have endeavored to comprehend the correlation between geography and public health. The objective of this study is to identify the most significant variables that contribute to the transmission of the coronavirus by utilizing the geographic information system (GIS) and Shannon entropy analysis (Case Study: Nour City). The statistical population of this study comprised 785 individuals from Nour City who underwent PCR testing at medical centers between 2019 and 2020. The findings revealed that the highest number of cases were concentrated in Nima Street (25%), Moshir (10%), and Beheshti (9%), accounting for 44% of the total cases. The results also indicated that the middle-aged group (30-59 years) (65%) and the elderly (<60 years) (15%) were the most affected, while children (0-5 years) (1%) were the least affected. Furthermore, the study demonstrated that the majority of infected individuals resided in apartment buildings (59%) compared to villas (41%). The months with the highest incidence of coronavirus in Nour City were January (16%), February (13%), March (13%), July (11%), and August (11%). The spread of corona virus based on the frequency of patients in the streets of Noor city showed that Nima street has the highest number of infected patients between 160-200 patients. Moshir, Taleghani, Beheshti, Hafez, Imam Khomeini streets with the number of infected between 41-80 patients and Tehran, Shahadai Gomnam, Imam Reza, Azadi and Saadi streets with the number of 6-40 patients were ranked next. The final outcome of this research revealed that, according to the experts of Nour City, health centers, public awareness, population dispersion, adherence to health protocols, and months of the year were the most significant factors contributing to the spread of the coronavirus. This study highlights the impact of age groups, months of the year, population distribution, and building height on the transmission of the coronavirus.