Open AccessAN ANALYTICAL HIERARCHY PROCESS APPROACH FOR COVID-19 RISK ASSESSMENT STUDY AMID THE LATEST RE-OPEN AND UNLOCK PHASE IN INDIA
Author(s) -
Arpan Garg,
Talari Ganesh
Publication year - 2020
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v12i3.814
Subject(s) - analytic hierarchy process , pairwise comparison , ranking (information retrieval) , hierarchy , covid-19 , phase (matter) , work (physics) , computer science , risk assessment , process (computing) , risk analysis (engineering) , mode (computer interface) , operations research , business , artificial intelligence , mathematics , engineering , computer security , medicine , political science , mechanical engineering , chemistry , disease , organic chemistry , pathology , operating system , infectious disease (medical specialty) , law
The long duration of the COVID-19 pandemic has now compelled people to come out of their cells and begin engaging in various activities using different modes and in different places, which involves a high risk of being infected by COVID-19. This work aims to analyze the degree of the risk involved in such activities with the implementation of the latest re-open and unlock phase in India, the second most COVID-19 affected country. Seven important activities and the mode and place of conducting these activities are considered as the main criteria and sub-criteria of this study. The responses are formed with a pairwise comparison matrix, and an Analytical Hierarchy Process (AHP) approach is used to calculate the criteria/sub-criteria weights. An integrated AHP analysis output representation consisting of the degree of risk, grades, ranking, and major reasons of risk for each criterion and sub-criteria of this work is presented. This risk assessment study may help identify risky activities so that people can choose other available alternatives.