COVID-19 Coronavirus is now one of the most contagious diseases of the recently discovered and spread across the China in 2019 and has received global attention. In most COVID-19-infected individuals, respiratory symptoms should be mild to moderate and improve without the need for medical care. The risk of serious disease is higher for senior citizens and people with serious health problems, such as heart disease, diabetes, severe respiratory disease, and cancer. The World Health Organization (WHO) has formally declared the outbreak of COVID-19 to be a global pandemic. As on 11th April 2020 in India the largest number of persons testing positive for COVID-19 since the outbreak earlier month with samples of people, mostly contacts of already confirmed patients, rendering positive. In India total confirmed cases 7364, 633 are cured/discharged, with 240 deaths had been reported by the Ministry of Health and Family Welfare Government of India. The aim of the research is to analyze the spatial distribution of COVID-19 and its trends with the help of GIS software. At this time, there are no precise antibiotics or treatment options for COVID-19. Besides, several ongoing clinical studies are assessing effective treatments. The best way to protect and sluggish transmission should be well advised about the current COVID-19 virus, the disease it triggers and also how it continues to spread. Therefore, monitoring active ties using GIS spatial analysis is very important to control such as a COVID-19 virus spreading problem.

The present research datasets provide a different potential sector of groundwater accessibility in Debre Berhan, Amhara region represented by GIS and remote sensing techniques. Groundwater potential factors such as geology, slope, geomorphology, landuse/landcover, drainage density, and lineament density thematic layers were prepared from the SRTM 30m and LANDSAT multispectral satellite data. Weightage and scores were assigned to all thematic layers based on their groundwater holding capacity. The Inverse Distance Weighted (IDW) method was applied to integrate all the thematic layers to appraise the groundwater potential sector. From this method, the total data site is classified as very good - 6.5%; good - 22.1%; moderate - 51.2%; low - 18.4%; and very low - 1.8% of the groundwater potential sector. This analysis of data demonstrates the fact that the implication of GIS and remote sensing techniques in groundwater potential sector mapping at the regional scale and suggests that similar techniques could be applied to other regions of this country.