Gis application for modeling covid-19 risk in the makkah region, saudi arabia, based on population and population density
Source
The Egyptian Journal of Environmental Change
Issue
Vol. 12, Issue 2 (31 Oct. 2020), pp.13-30, 18 p.
Publisher
The Egyptian Society of Environmental Change
Publication Date
2020-10-31
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Earth Sciences, Water and Environment
Medicine
Topics
Abstract EN
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.
American Psychological Association (APA)
al-Khalidi, Ibrahim Ali. 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،Vol. 12, no. 2, pp.13-30.
https://search.emarefa.net/detail/BIM-984290
Modern Language Association (MLA)
al-Khalidi, Ibrahim Ali. 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 Vol. 12, no. 2 (Oct. 2020), pp.13-30.
https://search.emarefa.net/detail/BIM-984290
American Medical Association (AMA)
al-Khalidi, Ibrahim Ali. 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. Vol. 12, no. 2, pp.13-30.
https://search.emarefa.net/detail/BIM-984290
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 26-30
Record ID
BIM-984290
