Evaluating the Preparedness of Indian States against COVID-19 Pandemic Risk: A Fuzzy Multi-criteria Decision-Making Approach

被引:13
作者
Choudhury, Sudipa [1 ]
Majumdar, Abhijit [2 ]
Saha, Apu Kumar [1 ]
Majumdar, Prasenjit [3 ]
机构
[1] Natl Inst Technol, Dept Math, Agartala 799046, Tripura, India
[2] Indian Inst Technol Delhi, Dept Text & Fibre Engn, New Delhi 110016, India
[3] MR Bangur Hosp, Kolkata 700033, W Bengal, India
基金
英国科研创新办公室;
关键词
COVID-19; fuzzy analytic hierarchy process; India; pandemic;
D O I
10.1111/risa.13808
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The preparedness of Indian states and union territories (UTs) against the COVID-19 pandemic has been evaluated. Ten parameters related to demographic, socioeconomic, and healthcare aspects have been considered and the performances of 27 states and three UTs have been evaluated applying the Fuzzy Analytic Hierarchy Process. Opinions of medical experts have been considered to ascertain the relative importance of decision criteria as well as subcriteria. The scores of various states and UTs in each of the decision subcriteria have been calculated by using the secondary data collected from authentic sources. It is found that Kerala and Bihar are the best prepared and worst prepared states, respectively, to combat COVID-19 pandemic. Karnataka, Goa, and Tamil Nadu have very good preparedness whereas Chhattisgarh, Jharkhand, and Bihar have very poor preparedness. Maharashtra, the most affected state in India, has average preparedness. As around 650 million people are vulnerable due to the poor and very poor preparedness of their states, the country needs to make region specific mitigation strategies to combat the COVID-19 pandemic and the preparedness map will be helpful in that direction.
引用
收藏
页码:85 / 96
页数:12
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