Assessment of Blood Donor Information Using Kernel Density Maps: A Case Study at Gangtok District, Sikkim and Modeling of a Web Application.

Acquiring blood donor information is a very time-consuming process and may put the patient’s health at risk. Finding blood donor data is essential for receiving the correct type of blood as quickly as possible. This study aims to develop a web application to alleviate the hassles faced by critical patients. We acquire sample data from CRH hospital in Gangtok, Sikkim. We assess data from blood donors using ArcGIS platforms. Further, we generate a region-wise heat map. We include 391 blood donor records of which 165 are A+ Ve, 94 are B+ Ve, 43 are AB+ Ve, 3 are B- Ve, and 86 were O+ Ve. Through the modeled application users can locate blood donor information near them and communicate with the blood donor by direct phone call using the assessed heatmaps. Users can also register themselves by providing information such as their personal information, blood type, etc., which will be displayed on the heatmap for future use. Through the modeled application blood banks in that area can Figure out which locations have a higher volume of a specific blood type that they require, and then set up a camp or encourage volunteers to donate blood to help.