GIS approach for mapping novel coronavirus in northern state of India, Jammu and Kashmir

Abstract

Novel coronavirus “COVID-19” has affected worldwide. At initial stage, the way out to curb the deadly virus was lockdown, isolating the symptomatic people, quarantining travellers and educating the people about the coronavirus infection so that precautionary measures are followed by people. The present research focuses on the application of Geographic Information System on mapping the coronavirus cases in Jammu and Kashmir. The research attributes the role of dense population and urbanization responsible for increasing the coronavirus cases in the study area. The districts like Srinagar and Jammu with high population and urbanization (census 2011) attribute high number of corona cases in year 2020. This high population experiences the highest number of corona cases (Jammu 23,339, Srinagar 24,996), deaths (Jammu 350, Srinagar 444) and COVID-19 recoveries (Jammu 22,141, Srinagar 23,957). The highly urbanized and populated area are much exposed towards infection. The high number of corona case experiences heart-related issues. The number of heart-related deaths are increased to 29.6% during winter in study area by extreme weather conditions limiting regular exercising and outdoor activities. But, due to COVID-19 the amount of heart-related deaths has significantly increased, which is crucial for the study area. This study will serve as replica study for managing COVID-19 in Jammu and Kashmir and help the medical fraternity by giving the priority for vaccinating the people and managing the facility related to COVID-19. The GIS was used to mitigate the infection of COVID-19 on life.

Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS)

“…Similar trends have been shown worldwide where the metropolitan cities and urban areas were affected earlier because of a higher population density, indoor crowding, and high usage of crowded public transport systems ( Lee et al, 2020 ). This has also been supported by GIS mapping conducted in Jammu and Kashmir, which showed that the urban areas are affected first ( Meer and Mishra, 2021 ). A study conducted by Gangwar and Ray (2021) analyzed COVID-19 cases in India using geospatial technology from statistics available in the public domain.…”

A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database

“…Mapping areas with the level of vulnerability to the spread of covid-19 (Meer & Mishra, 2021;Ramadan & Ramadan, 2022;Soni et al, 2022), and its relationship to the multidimensional poverty rate (MPI) (Henao-Cespedes et al, 2022), Air quality measurement during lockdown (Deng et al, 2022), The impact of lockdowns on climate change and the environment through restrictions on human activities on energy use (Madkour, 2022), in the marine sector shows that during the lockdown there was a growth of phytoplankton in the northwest of the Arabian gulf/Persia (Kuwait bay) (Polikarpov et al, 2021), In the health sector such as monitoring the status of Covid-19 infection (Yang et al, 2021), Comparison of Covid-19 infection status between medical personnel and patients (P. , and analysis of industry-based economic sectors through spatiotemporal (Zhou et al, 2021).…”

Are spatial patterns of Covid‐19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain

“…In the social sciences, from spatial and multiscale perspectives, multiple factors influence the virus spread. The pandemic is closely related to urban and dense population areas (Meer & Mishra, 2021 ). Factors of connectivity (Hamidi, Sabouri, & Ewing, 2020 ), mobility, and transportation or even urban design can be identified as factors that facilitate the virus spread, especially in areas with high concentration of jobs, activities, and services (Brizuela, García‐Chan, Gutiérrez, & Chowell, 2021 ; Pérez et al., 2020 ).…”