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AHP and GIS-based Risk Zonation of COVID-19 in North East India

Ranjit Mahato , Dhoni Bushi and Gibji Nimasow *

Corresponding author Email: ranjit.mahato@rgu.ac.in

DOI: http://dx.doi.org/10.12944/CWE.15.3.29

On 31st December 2019, a novel virus was reported from Wuhan City of Hubei Province of China, and later it was recognized as SARS-COV-2 (COVID-19). As the virus is highly human to human contagious, it has spread worldwide within a very short time. Since 24th March 2020, after the first reported case in North East India, the total confirmed cases reached up to 4,633 on 11th June 2020. In this work, an attempt has been made to delineate risk zones of COVID-19 in North East India using the Analytic Hierarchy Process (AHP) and overlay analysis in Geographical Information System (GIS). The evaluation is based on 14 criteria that were classified into promoting and controlling factors. The promoting factors include population size, population density, urban population, elderly population, population below the national poverty line, and percentage of marginal workers. In contrast, the controlling factors include available doctors, other health workers, public health facilities, available beds, governance index (composite and health), and testing laboratories. The results were classified into very high, high, moderate, low, and very low risk zones. Most densely populated states with massive pressure on health facilities are likely to have a higher risk of COVID-19. Assam, Tripura, Meghalaya, and Nagaland show a high COVID-19 risk, which constitutes almost 76.93% of the North East India population, covering 48.80% of surface area. The states under a moderate risk zone include 6.92% of the population over 8.52% of the area. Lastly, 16.15% of the people living over 42.69% of the total area belong to the states with a lower risk zone.

AHP; COVID-19; GIS; North East India; Risk

Copy the following to cite this article:

Mahato R, Bushi D, Nimasow G. AHP and GIS-based Risk Zonation of COVID-19 in North East India. Curr World Environ 2020;15(3). DOI:http://dx.doi.org/10.12944/CWE.15.3.29

Copy the following to cite this URL:

Mahato R, Bushi D, Nimasow G. AHP and GIS-based Risk Zonation of COVID-19 in North East India. Curr World Environ 2020;15(3). Available From: https://bit.ly/3gb6EA6