@inproceedings{5b20250c8add45a29ac6ae9957596534,
title = "Data Visualization for Corona Patients Globally using Real-Time APIs",
abstract = "All the nations' administrative units are concerned about the COVID-19 outbreak in different regions of the world. India is also trying to control the spread of the virus with strict measures and has managed to slow down its growth rate. The administration of each country faces the challenge of maintaining records of corona patients. To address this challenge, this work builds a website from scratch using real-time APIs for data visualization. The website provides information on the number of active cases, death cases, recovery cases, and total cases of COVID-19 patients in each country. The data can be visualized using graphs, making it easier to compare the situation in different countries. The website allows for monitoring which country has a higher number of deaths, patients, favorable recovery rates, and a large number of active cases. The COVID-19 status regarding patients can be analyzed through graphical representation using real-time data.",
keywords = "Active, Analyze, Covid-19, Death, Patient's Data, Real-time Data, Recovered, Visualize",
author = "S. Durai and Iqbal, {M. Mohamed} and Kumar, {S. Niresh} and Chockalingam Alagappan",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 ; Conference date: 23-03-2023 Through 25-03-2023",
year = "2023",
doi = "10.1109/ICSCDS56580.2023.10105077",
language = "English",
series = "2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "588--591",
booktitle = "2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings",
address = "United States",
}
