Using mapping and spatial modelling concepts for controlling Covid-19 risk in Saudi Arabia
العناوين الأخرى
استخدام الخرائط و مفاهيم النمذجة المكانية للسيطرة على مخاطر مرض كوفيد-19 في المملكة العربية السعودية
المؤلف
المصدر
The Arabian Journal of Geographical Information Systems
العدد
المجلد 14، العدد 1 (s) (30 نوفمبر/تشرين الثاني 2020)، ص ص. 95-106، 12ص.
الناشر
تاريخ النشر
2020-11-30
دولة النشر
السعودية
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The Covid-19 is considered by the World Health Organization (WHO) to be one of the most important and impactful globally.
visual displays of quantitative data of this disease, such as cases of infections, on maps for understanding causes have a successful story in Saudi Arabia.
this study mainly aims to explain how the Saudi authorities implement GIS concepts in controlling the spatial risks of Covid-19.
It also shows the current spatial distribution of the disease in Saudi Arabia, with most infected groups according to their nationality sex and age, collected from the health ministry database.
Getis-Ord Gi٭ statistic was applied to examine the national level of spatial cluster (risk level) to identify and visualize regions where values of Covid-19 rate were extreme and geographically homogenous.
The results show the impact of Covid-19 is still limited, as the total number of infections did not exceed 74,795 confirmed cases until 25th May 2020, of which 45,668 (61% out of the total cases) have recovered.
Ar Riyad (17,656 cases), which includes the capital city of SA, Makkah (29,436), Almadinah (9,751), and Ash Sharqiyah (14,012) are the most impacted regions (high-risk level) as they recorded most of the cases with 70,855 (95%) out of the all confirmed cases.
this study shows how GIS applications help monitor the impact of the outbreak, manage it, communicate with the security and health services, and help allocate resources, which will help society and institutions to respond effectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Khurrami, Hasan Bin Muhsin. 2020. Using mapping and spatial modelling concepts for controlling Covid-19 risk in Saudi Arabia. The Arabian Journal of Geographical Information Systems،Vol. 14, no. 1 (s), pp.95-106.
https://search.emarefa.net/detail/BIM-1283455
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Khurrami, Hasan Bin Muhsin. Using mapping and spatial modelling concepts for controlling Covid-19 risk in Saudi Arabia. The Arabian Journal of Geographical Information Systems Vol. 14, no. 1 (Special issue) (Nov. 2020), pp.95-106.
https://search.emarefa.net/detail/BIM-1283455
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Khurrami, Hasan Bin Muhsin. Using mapping and spatial modelling concepts for controlling Covid-19 risk in Saudi Arabia. The Arabian Journal of Geographical Information Systems. 2020. Vol. 14, no. 1 (s), pp.95-106.
https://search.emarefa.net/detail/BIM-1283455
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 105
رقم السجل
BIM-1283455
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر