(2020). GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY. The Egyptian Journal of Environmental Change, 12(2), 13-30. doi: 10.21608/ejec.2020.115873
. "GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY". The Egyptian Journal of Environmental Change, 12, 2, 2020, 13-30. doi: 10.21608/ejec.2020.115873
(2020). 'GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY', The Egyptian Journal of Environmental Change, 12(2), pp. 13-30. doi: 10.21608/ejec.2020.115873
GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY. The Egyptian Journal of Environmental Change, 2020; 12(2): 13-30. doi: 10.21608/ejec.2020.115873
GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY
COVID-19 in Saudi Arabia has emerged across different regions of the country. To date, the Makkah region has seen the highest number of COVID-19 cases, containing 39.5%of all cases in Saudi Arabia. To understand the risk of COVID-19, the population and population density of the region were investigated. Examining the number of COVID-19 cases could provide useful insights for officials when considering the adoption of different interventions. To obtain this data, a local spatial analysis using Geographically Weighted Regression (GWR) was employed to predict the risk of COVID-19 for the Makkah Region. A strong positive association (R² =0.96) was found between COVID-19 and population and population density in Makkah region. The cities with the highest population and population density were found to be at a higher risk of COVID-19.
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