
Covid Tracker for Medical Front-Liners- A Survey
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/281032021
Subject(s) - visualization , upload , medical emergency , process (computing) , cluster analysis , covid-19 , computer science , medicine , data mining , artificial intelligence , world wide web , pathology , disease , infectious disease (medical specialty) , operating system
This paper studies the need and suggests a centralized pandemic management system for monitoring and managing the Covid-19 positive patients. The initial process of the system will be data collection from a standard medical organization and performing suitable preprocessing. Following this, is the Geocoding process of the patient’s address and area wise sub clustering. Next is plotting the patient on a map for better visualization. After this the medical staff will access this data and field staff will fillup the patient’s symptoms and upload it to a database. A doctor can assign the type of treatment, ambulance and hospital to the patient. Finally, tracking the patient’s arrival to the hospital via ambulance and treating the patient will mark the end. Analysis and visualization on the patients live data will help the authorities in decision-making. Through all these steps, the monitoring of a Covid-19 positive patient will become very easy and convenient for the medical front liners and other concerned authorities