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Mapping of Covid-19 Pandemic in India using Interpolation Method Based on GIS

Venkatesan Selvaraj

The first outbreak of COVID-19 pandemic in Wuhan, China was proclaimed on 31st December 2019. The outbreak has spread expeditiously all over Chinese cities and several countries worldwide. We describe the Spatio-temporal pattern and measure the spatial association of the early stages of the COVID-19 epidemic in India from March to April. In this study, the detailed discussion of Corona cases and major hotspot places in India was given. Analysis of spatial distribution patterns may provide valuable information to support government monitoring and predicting spread of the virus across small and large areas. To inform researchers and program developers, this mapping review presents the scope and depth of the Geographic Information System (GIS) and spatial analysis studies conducted by COVID-19 in India. In particular, GIS and spatial analysis can be essential tools for knowledge, prevention and treatment of diseases. For example, GIS technology can be used as a visualization help to map the geographical distribution of the disease, the potential risk factors and the resources available for treatment and prevention. In relation to the spatial analysis of certain information, it is possible to evaluate the risks of disease, trends in outbreaks over time and space, and hotspots of infection as a result; a GIS-based spatial distribution using the Inverse Distance Weighted (IDW) method was performed in this article to identify potential disease risk assessments in India.