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Analysis of COVID-۱۹ Outbreak in Iran by a Suite of Artificial Adaptive System Algorithms

عنوان مقاله: Analysis of COVID-۱۹ Outbreak in Iran by a Suite of Artificial Adaptive System Algorithms
شناسه ملی مقاله: JR_CSE-2-2_005
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:

Masoud Asadi-Zeydabadi - Department of Physics, University of Colorado Denver, Denver, CO ۸۰۲۱۷, USA
Massimo Buscema - Department of Mathematical and Statistical Science, CCMB, University of Colorado Denver, Denver, CO ۸۰۲۱۷, USA
Mozhdeh Saffari-Parizi - Auraria Library, University of Colorado Denver, Denver, CO ۸۰۲۱۷, USA
Giulia Massini - Semeion, Research Centre of Sciences of communication, via Sersale ۱۱۷, ۰۰۱۲۸ Rome, Italy
Mostafa Moradi-Khalaj - Department of Civil and Environmental Engineering, ۷۱۳۴۸۵۱۱۵۶, Shiraz University, Shiraz, Iran
Weldon Lodwick - Department of Mathematical and Statistical Science, CCMB, University of Colorado Denver, Denver, CO ۸۰۲۱۷, USA

خلاصه مقاله:
COVID-۱۹ outbreak in Iran is studied and analyzed using Topological Weighted Centroid (TWC) algorithms. According to this algorithm the origin of the outbreak is mainly in the city of Qom. In addition, it predicts the centers of the epidemic spread in the future as well as pathways of this spread.

کلمات کلیدی:
COVID-۱۹ virus, The TWC algorithms, The modified TWC algorithms

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1921648/