About us

Suggested Bibtex Citation

 @misc{inc19,
        Contributors = {ISI-IISC-Team: Sree Akshaya, Soham Bakshi, Siva Athreya, Srivatsa B., Nitya Gadhiwala, Disha Hegde, Jainam Khakra, Rahul Kanekar, Jagadish Midthala,  Abhiti Mishra, Sandipan Mishra, Srigyan Nandi, Nihesh Rathod, A. Y. Sarath, Prashanth Shivakumar, Rajesh Sundaresan, Srinidi Veeraraghavan, Paavan Parekh, Rashi Srivastava },
        TITLE = {Covid-19 States of India and Karnataka District Timeline 20-21},
        YEAR = {2020},
        NOTE = {at \url{http://www.isibang.ac.in/~athreya/incovid19}}}

History and Organisation of Website

--started at ISI Bangalore in March 2020
--website details for each section of the website --this version.

Major Sections

This site offers a range of resources and tools designed to aid in understanding and navigating the impact of COVID-19. An overview of the main sections of the portal is provided below, each tailored to deliver specific types of information and support. Whether seeking detailed statistical data, trend analyses, or interactive tools, the portal is equipped to address various needs.

India: This section offers a national overview of COVID-19 data across India. It provides real-time monitoring of key metrics such as the reproduction number (Rt) and active cases, enabling users to track the overall spread of the virus throughout the country. The data presented here is crucial for understanding national trends and guiding public health responses.

Karnataka: Focusing on Karnataka, this section delivers detailed COVID-19 statistics specific to the state. It includes real-time data on active cases, Rt, and deceased figures, as well as district-level analyses. This section also features one-week predictions and an Early Warning System (EWS) tailored to Karnataka, offering in-depth insights into the pandemic's impact and aiding local response efforts.

Predictions: In this section, users can access predictive models and forecasts related to COVID-19 trends. It includes one-week predictions for active cases and other key metrics, based on current data and advanced statistical models. These forecasts are designed to provide insights into potential future scenarios, helping with planning and early intervention strategies.

Publications & Preprints: This section aggregates relevant research publications and preprints concerning COVID-19. It features scholarly articles, research papers, and preliminary studies that contribute to the ongoing understanding of the pandemic. Users can explore these resources to stay informed about the latest scientific developments and findings.

Data Repository: The Data Repository serves as a comprehensive source for COVID-19 data. It provides downloadable CSV files containing collated data from the Ministry of Health and Family Welfare (MOHFW) and Karnataka government media bulletins. This section makes it easier for users to access, analyze, and utilize COVID-19 data in a structured format.

Early Warning System (EWS): The Early Warning System (EWS) offers predictive alerts and early warnings based on current COVID-19 data trends. It is designed to identify potential surges in cases and provide timely notifications to support proactive measures. This system enhances preparedness by forecasting potential developments in the pandemic.

CoVid-19 Variants: This section provides detailed information on the spread of COVID-19 variants across India. It includes data on the main lineages and their sub-lineages, offering insights into how different strains of the virus are distributed geographically and temporally.

Software Used

For the development and visualization of the COVID-19 data, we utilized a combination of powerful tools and software:

R: The primary programming language used for data analysis and statistical computations was R. Its comprehensive libraries and packages facilitated extensive data manipulation, analysis, and modeling.
- Data Collection: This set of scripts is responsible for fetching and cleaning COVID-19 data from various sources. It ensures the data is accurate and formatted correctly for subsequent analysis.
- Data Analysis: Utilizing R, these scripts perform comprehensive statistical analyses, including trend assessments and data aggregation. They enable the extraction of meaningful insights from the raw data.
- Visualization: This component uses Plotly to generate interactive visualizations. The visualizations offer dynamic charts and graphs, allowing users to interact with and explore the data in an engaging manner.
- Reporting: Scripts in this section are designed to compile and generate detailed reports and summaries of the findings. They provide a coherent presentation of the analysis results.

Plotly: To create interactive and visually appealing graphs, we employed Plotly. This library enables dynamic visualizations, allowing users to interact with the data through features such as zooming, panning, and hover effects. Plotly’s integration with R provided an effective way to present complex data in an intuitive and engaging format.

The combination of R’s analytical capabilities and Plotly’s interactive visualization tools ensured that the data was not only thoroughly analyzed but also presented in a user-friendly manner, enhancing the overall experience for users exploring the COVID-19 data.

Data Source

Data Collection and Integration: We gather data from trusted sources such as the World Health Organization (WHO), the Centers for Disease Control and Prevention (CDC), and various national health ministries.

Data Analysis and Visualization: We used R language to generate interactive charts, maps, and dashboards from complex data sets

Contact Us

We welcome feedback, questions, and collaboration opportunities. Please feel free to reach out to us at statprob@icts.res.in.