Covid-19 Tracker: A data visualization tool for time series data of pandemic in India

被引：0

作者：

Talavia, Yaksh ^{[1
]}

Singh, Priyanka ^{[1
]}

Manoharan, Sathiamoorthy ^{[2
]}

机构：

[1] Dhirubhai Ambani Inst Informat & Commun Technol, Gandhinagar, Gujarat, India

[2] Univ Auckland, Auckland, New Zealand

来源：

2021 IEEE ASIA-PACIFIC CONFERENCE ON COMPUTER SCIENCE AND DATA ENGINEERING (CSDE) | 2021年

关键词：

Covid-19; Dashboard; Data visualization;

D O I：

10.1109/CSDE53843.2021.9718425

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Covid-19 first originated in Wuhan, China, became a global pandemic and spread to many countries due to its high transmissibility. Digital technology could prove to be of great use in pandemic management with many strategies like screening for infection, tracking, contact tracing, and many more. Covid-19 tracker is one such application of digital technology. This helps in visualizing the pattern of public health through graphs, search results, and tables that can be easily understood by the user. It is built using HTML and JavaScript. Covid-19 Tracker uses data from certain authentic sources and helps to visualize the spread of Covid-19 throughout India. The main features incorporated in our dashboard are: total cases reported, graphs for daily trends, search functionality, state-wise comparative evaluations, and hotspot distribution map of the entire country. This dashboard provides a variety of user involvement possibilities and extracts useful data in a simple and easy-to-understand way.

引用

页数：5

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