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 | ||||
| Article 2, Volume 12, Issue 2, October 2020, Page 13-30 PDF (304.27 K) | ||||
| Document Type: Peer-reviewed articles | ||||
| DOI: 10.21608/ejec.2020.115873 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| COVID-19; Explanatory variables; Geographically Weighted Regression; Makkah region | ||||
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