TY - EJOU
AU - Attaallah, Abdulaziz
AU - Ahmad, Masood
AU - Seh, Adil Hussain
AU - Agrawal, Alka
AU - Kumar, Rajeev
AU - Khan, Raees Ahmad
TI - Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia
T2 - Computer Modeling in Engineering \& Sciences
PY - 2021
VL - 126
IS - 1
SN - 1526-1506
AB - 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.
KW - Coronavirus; social impact; safety; precautions; fuzzy-AHP.TOPSIS; block-chain technique; COVID-19 monitoring
DO - 10.32604/cmes.2021.014263