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A system dynamics model for the novel COVID-19 pandemic
العناوين الأخرى
نظام ديناميكي لجائحة الفيروس التاجي الجديد (كوفيد-19)
المؤلفون المشاركون
Rushdi, Muhammad Ali
al-Talabi, Walid Muhammad
Tawfiq, Basil Muhammad
المصدر
Journal of King Abdulaziz University : Computing and Information Technology Sciences
العدد
المجلد 9، العدد 2 (31 ديسمبر/كانون الأول 2020)، ص ص. 27-46، 20ص.
الناشر
جامعة الملك عبد العزيز كلية الحاسبات و تقنية المعلومات
تاريخ النشر
2020-12-31
دولة النشر
السعودية
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
The novel coronavirus COVID-19 is a highly infectious disease with severe respiratory symptoms which may lead to death.
According to the latest disease statistics, COVID-19 has been affecting 213 countries and territories around the world.
So far, the statistics indicate that the disease led to about 367,000 deaths and 6 million infections worldwide between December 31st 2019 and May 30th 2020.
In this paper, we propose a system dynamics model for the spread of COVID-19.
The proposed model investigates possible mechanisms for the spread of infection among humans.
The COVID-19 epidemiological parameters were estimated based on real pandemic data that covers a period of 110 days.
The model was simulated and validated over 365 days for the cases of China, Italy, and USA.
The model simulation outcomes predict a recession of the pandemic in China by August 2020 with a total of 85,832 COVID-19 infected cases.
In Italy, the total number of infections is expected to reach 276,406.
The model interestingly predicts another wave of the COVID-19 outbreak by early 2021.
Finally, the large expected number of 3,394,754 infected people in the USA gives a clear warning of the possibility that the crisis can become out of control.
Under such circumstances, quarantine procedures become ineffective, and a vaccine or a treatment becomes the only solution.
The system dynamics model of COVID-19 provides a good estimation for the numbers of infected, recovered, and dead people, in addition to the pandemic timing and the peak time.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Talabi, Walid Muhammad& Rushdi, Muhammad Ali& Tawfiq, Basil Muhammad. 2020. A system dynamics model for the novel COVID-19 pandemic. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 9, no. 2, pp.27-46.
https://search.emarefa.net/detail/BIM-1326060
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Talabi, Walid Muhammad…[et al.]. A system dynamics model for the novel COVID-19 pandemic. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 9, no. 2 (2020), pp.27-46.
https://search.emarefa.net/detail/BIM-1326060
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Talabi, Walid Muhammad& Rushdi, Muhammad Ali& Tawfiq, Basil Muhammad. A system dynamics model for the novel COVID-19 pandemic. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2020. Vol. 9, no. 2, pp.27-46.
https://search.emarefa.net/detail/BIM-1326060
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 43-45
رقم السجل
BIM-1326060
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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