Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

【Author】 Attaallah, Abdulaziz; Ahmad, Masood; Seh, Adil Hussain; Agrawal, Alka; Kumar, Rajeev; Khan, Raees Ahmad

【Source】CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

【影响因子】2.027

【Abstract】Ever since its outbreak in Wuhan, COVID-19 has cloaked the entire world in a pall of despondency and uncertainty. The present study describes the exploratory analysis of all COVID cases in Saudi Arabia. Besides, the study has executed the forecasting model for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined period. Towards this intent, the study analyzed different age groups of patients (child, adult, elderly) who were affected by COVID-19. The analysis was done city-wise and also included the number of recoveries recorded in different cities. Furthermore, the study also discusses the impact of COVID-19 on the economy. For conducting the stated analysis, the authors have created a list of factors that are known to cause the spread of COVID-19. As an effective countermeasure to contain the spread of Coronavirus in Saudi Arabia, this study also proposes to identify the most effective Computer Science technique that can be used by healthcare professionals. For this, the study employs the Fuzzy-Analytic Hierarchy Process integrated with the Technique for Order Performance by Similar to Ideal Solution (F.AHP.TOPSIS). After prioritizing the various Computer Science techniques, the ranking order that was obtained for the different techniques/tools to contain COVID-19 was: A4 > A1 > A2 > A5 > A3. Since the Blockchain technique obtained the highest priority, the study recommends that it must be used extensively as an efficacious and accurate means to combat COVID-19.

【Keywords】Coronavirus; social impact; safety; precautions; fuzzy-AHP.TOPSIS; block-chain technique; COVID-19 monitoring

【发表时间】2021

【收录时间】2022-01-02

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