Analyzing the Implications of COVID-19 Pandemic through an Intelligent-Computing Technique

作     者：Abhishek Kumar Pandey Jehad F.Al-Amri Ahmad F.Subahi Rajeev Kumar Raees Ahmad Khan 

作者机构：Department of Information TechnologyBabasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information TechnologyCollege of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer ScienceUniversity College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia Department of Computer ApplicationsShri Ramswaroop Memorial UniversityBarabanki225003India 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第41卷第6期

页      面：959-974页

核心收录：

学科分类：1002[医学-临床医学] 081203[工学-计算机应用技术] 08[工学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by Taif University Researchers Supporting Project number(TURSP-2020/211) Taif University Taif Saudi Arabia 

主　　题：COVID-19 Saudi Arabian regions risk assessment dynamics of infection fuzzy AHP 

摘      要：The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the WorldHealth Organization (WHO) on March 11, 2020. COVID-19 has already affectedmore than 211 nations. In such a bleak scenario, it becomes imperative to analyzeand identify those regions in Saudi Arabia that are at high risk. A preemptivestudy done in the context of predicting the possible COVID-19 hotspots wouldfacilitate in the implementation of prompt and targeted countermeasures againstSARS-CoV-2, thus saving many lives. Working towards this intent, the presentstudy adopts a decision making based methodology of simulation named Analytical Hierarchy Process (AHP), a multi criteria decision making approach, forassessing the risk of COVID-19 in different regions of Saudi Arabia. AHP givesthe ability to measure the risks numerically. Moreover, numerical assessments arealways effective and easy to understand. Hence, this research endeavour employsFuzzy based computational method of decision making for its empirical *** in the proposed paper suggest that Riyadh and Makkah are the mostsusceptible regions, implying that if sustained and focused preventive measuresare not introduced at the right juncture, the two cities could be the worst afflictedwith the infection. The results obtained through Fuzzy based computationalmethod of decision making are highly corroborative and would be very usefulfor categorizing and assessing the current COVID-19 situation in the Kingdomof Saudi Arabia. More specifically, identifying the cities that are likely to beCOVID-19 hotspots would help the country’s health and medical fraternity toreinforce intensive containment strategies to counter the ills of the pandemic insuch regions.