COVID-19 pandemic hazard–risk–vulnerability analysis: a framework for an effective Pan-India response. Issue 25 (13th December 2022)

• Record Type: Journal Article
• Authors: Lal, Preet; Kumar, Amit; Prasad, Alisha; Kumar, Shubham; Saikia, Purabi; Dayanandan, Arun; Roy, Parth Sarathi; Khan, Mohammed Latif
• Is Part Of: Geocarto international. Volume 37:Issue 25(2023)
• Page Start: 9098
• Page End: 9109
• Publication Date: 2022-12-13
• Subjects: COVID-19 hazard -- social-economic vulnerability -- COVID-19 risk -- fuzzy AHP -- GIS modelling; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2021.2012529
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: This study evaluated the COVID-19 risk considering positive cases (as a hazard) and the demographic structure (as a socio-economic vulnerability) at districts scale across India using fuzzy analytical hierarchical process and geospatial modelling. Despite the fact that the high and very high COVID-19 hazard was observed in a limited area (14.2%, 233 districts), the proportion of high to very high COVID-19 risk was evident in larger regions (42.5%, 575 districts). A moderate to very high socio-economic vulnerability was recorded in major parts of the country (60.0%, 557 districts), while the districts with megacities had been severely affected due to the more complex urban and social systems. The study highlights the zones under high COVID-19 hazard and its possible linkages with vulnerability and risk at district scales in India that may effectively support emergency preparedness and response mechanisms during the different waves of the pandemic.