GIS-based AHP analysis to recognize the COVID-19 concern zone in India

被引:0
|
作者
Prasoon Soni
Ithi Gupta
Pushpraj Singh
Devendra Singh Porte
Dilip Kumar
机构
[1] Guru Ghasidas University,Department of Rural Technology and Social Development
来源
GeoJournal | 2023年 / 88卷
关键词
Analytical hierarchy process; Geographical information system; COVID-19; Multi-criteria decision making;
D O I
暂无
中图分类号
学科分类号
摘要
This study was planned to identifying the Corona concerns zone during COVID-19 transmission in India. The death rate was very high due COVID-19 pandemic outbreaks which are one of the main reasons for impairment the countries, and it will takes several years for the re-establishment of the fundamental need to ensure the demand of public supply. Currently, like many countries around the world, India is also facing a drastic health crisis due to Corona virus disease. Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) play important role in making the multi-criteria decisions and identifying the corona concern zone of a larger populated areas across the country in a single platform which can be further helpful for better control, planning, and management during several pandemic outbreaks. The present work is based on the AHP and GIS-assisted identification, analysis, and representation of the state-wise corona concern zone of India. Consequently, the current examination is essential to investigate the Corona concern zone in order to support the management and planning authority of India to improve their strategies in respect to reduce or check the health risk during the emergency of pandemic due to COVID-19. The present study indicated that the state-wise priority of corona concern zone recorded higher in state Maharashtra, Uttar Pradesh, and Kerala as compared to the other part of the India. Hence, GIS and AHP are the potential to identify, observe and analyze the COVID-19 Concern Zone.
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页码:451 / 463
页数:12
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