Open AccessGIS-Based Review for Monitoring the Spatial Distribution of Covid-19: A Case Study of Haryana
Author(s) -
Sanjay Kumar,
Veer,
Ripudaman Singh
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.
Subject(s) - covid-19 , spatial distribution , visualization , spatial analysis , geographic information system , cartography , distribution (mathematics) , geography , tracking (education) , data mining , computer science , medicine , remote sensing , pathology , disease , mathematics , infectious disease (medical specialty) , psychology , mathematical analysis , pedagogy
Worldwide COVID-19 cases were noticed from its first variant to new variant very fast which is becoming threatening to human health, social function, production and supply of goods, and international relations. In Haryana, cases are increasing rapidly. GIS techniques contribute to controlling the epidemic by mapping of visualizing epidemic data, spatial visualization of protected and risk zones, spatial tracking of spreading, and route networking to fulfill demanded supply. These types of big spatial data can support taking decisions, formulating measurements, and effectiveness to control and prevent COVID-19. In the study area, total cases, daily reported cases, active cases, recovered cases, and fatalities were mapped. Based on daily reported cases, a high to less affected zone map was prepared by using the IDW technique. Results showed that the NCR region was highly affected and the rest of the part was less affected. Mapping of spreading epidemics on spatial distribution and variability of corona can provide the most useful insights to the authorities for decision making. Keywords: COVID-19, GIS, Spatial Distribution, IDW, Haryana