A Geostatistical approach to Spatio-temporal analysis of COVID-19 in Indian Himalayan Regions (IHR) – A case study of Uttarakhand.

Registration ID: IJNRD_182560

Published ID: IJNRD2208118

DOI: http://doi.one/10.1729/Journal.32271

Hemant Singh Bisht , Rumi Rongpi

Coronavirus disease (COVID-19), Uttarakhand, Spatio-temporal Analysis, Spatial Auto correlation, Hot-spot Analysis, Geostatistical analysis, IDW, Moran’s I, Getis-Ord Gi* statistics.

The outbreak of Coronavirus disease (COVID-19) is the most vital concern for all the regions across the globe now. The remote Himalayan states of India are not even untouched by the impacts of this novel virus. Uttarakhand, a state of western Himalayas, has the highest number of COVID-19 cases and deaths among all the states in Indian Himalayan Region (IHR), except the partial states as Assam and West Bengal. This study analyzes and shows the spatio-temporal patterns of COVID-19 in the state of Uttarakhand with the help of GIS and spatial modelling techniques, especially geostatistical tools. The prime focus of this study is to analyze the patterns of spatial and temporal distribution, spatial autocorrelation and identify hot-spots of the contagion in the state.

Published Paper   E-Certificate

Hemant Singh Bisht & Rumi Rongpi (August-2022). A Geostatistical approach to Spatio-temporal analysis of COVID-19 in Indian Himalayan Regions (IHR) – A case study of Uttarakhand.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(8), 1095-1102. http://doi.one/10.1729/Journal.32271

Volume 7 Issue 8, August-2022

Pages : 1095-1102

Paper Reg. ID: IJNRD_182560

Published Paper Id: IJNRD2208118

Downloads: 000121987

Research Area: Social Science and Humanities 

Country: New Delhi, DELHI, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2208118.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2208118

Crossref DOI: http://doi.one/10.1729/Journal.32271

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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