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基于地理信息系统的层次分析法,识别印度新冠肺炎关注区域。

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

作者信息

Soni Prasoon, Gupta Ithi, Singh Pushpraj, Porte Devendra Singh, Kumar Dilip

机构信息

Department of Rural Technology and Social Development, Guru Ghasidas University, Koni, Bilaspur, Chhattisgarh India.

出版信息

GeoJournal. 2023;88(1):451-463. doi: 10.1007/s10708-022-10605-8. Epub 2022 Mar 6.

Abstract

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.

摘要

本研究旨在确定印度新冠疫情传播期间的新冠关注区域。由于新冠疫情爆发,死亡率非常高,这是损害国家的主要原因之一,而且重新建立确保公共供应需求的基本需求需要数年时间。目前,与世界上许多国家一样,印度也因新冠病毒病面临严峻的健康危机。层次分析法(AHP)和地理信息系统(GIS)在做出多标准决策以及在一个平台上识别全国人口较多地区的新冠关注区域方面发挥着重要作用,这在多次疫情爆发期间对更好地控制、规划和管理会更有帮助。目前的工作基于层次分析法和地理信息系统辅助对印度各邦新冠关注区域的识别、分析和呈现。因此,当前的研究对于调查新冠关注区域至关重要,以便支持印度的管理和规划部门改进其策略,以降低或控制新冠疫情紧急期间的健康风险。本研究表明,与印度其他地区相比,马哈拉施特拉邦、北方邦和喀拉拉邦各邦的新冠关注区域优先级更高。因此,地理信息系统和层次分析法有潜力识别、观察和分析新冠关注区域。

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