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 Topic

Earth Science , Water and Environment
Diseases

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