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115873

GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY

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Last updated: 26 Dec 2024

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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.

DOI

10.21608/ejec.2020.115873

Keywords

COVID-19, Explanatory variables, Geographically Weighted Regression, Makkah Region

Volume

12

Article Issue

2

Related Issue

17536

Issue Date

2020-10-01

Receive Date

2020-08-14

Publish Date

2020-10-01

Page Start

13

Page End

30

Print ISSN

2090-2271

Online ISSN

2090-6005

Link

https://ejec.journals.ekb.eg/article_115873.html

Detail API

https://ejec.journals.ekb.eg/service?article_code=115873

Order

2

Type

Peer-reviewed articles

Type Code

1,344

Publication Type

Journal

Publication Title

The Egyptian Journal of Environmental Change

Publication Link

https://ejec.journals.ekb.eg/

MainTitle

GIS APPLICATION FOR MODELING COVID-19 RISK IN THE MAKKAH REGION, SAUDI ARABIA, BASED ON POPULATION AND POPULATION DENSITY

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Type

Article

Created At

23 Jan 2023