# CO-19 PDB 2.0: A Comprehensive COVID-19 Database with Global Auto-Alerts, Statistical Analysis, and Cancer Correlations

**Authors:** Shahid Ullah, Yingmei Li, Wajeeha Rahman, Farhan Ullah, Muhammad Ijaz, Anees Ullah, Gulzar Ahmad, Hameed Ullah, Tianshun Gao

PMC · DOI: 10.1093/database/baae072 · Database: The Journal of Biological Databases and Curation · 2024-07-26

## TL;DR

CO-19 PDB 2.0 is a comprehensive, freely accessible database that provides centralized information on COVID-19 and its correlations with cancer, including global statistics and auto-updates.

## Contribution

The novel contribution is a centralized database with auto-notifications and cancer correlations, integrating diverse datasets for seamless access.

## Key findings

- CO-19 PDB 2.0 organizes 120 datasets into six categories, including genomic and social science data.
- The database includes global statistics on COVID-19 and cancer, highlighting breast and prostate cancers as the most common in the USA in 2022.
- The platform offers auto-notifications and predefined charts for tracking cases, deaths, and recovery rates.

## Abstract

Biological databases serve as critical basics for modern research, and amid the dynamic landscape of biology, the COVID-19 database has emerged as an indispensable resource. The global outbreak of Covid-19, commencing in December 2019, necessitates comprehensive databases to unravel the intricate connections between this novel virus and cancer. Despite existing databases, a crucial need persists for a centralized and accessible method to acquire precise information within the research community. The main aim of the work is to develop a database which has all the COVID-19-related data available in just one click with auto global notifications. This gap is addressed by the meticulously designed COVID-19 Pandemic Database (CO-19 PDB 2.0), positioned as a comprehensive resource for researchers navigating the complexities of COVID-19 and cancer. Between December 2019 and June 2024, the CO-19 PDB 2.0 systematically collected and organized 120 datasets into six distinct categories, each catering to specific functionalities. These categories encompass a chemical structure database, a digital image database, a visualization tool database, a genomic database, a social science database, and a literature database. Functionalities range from image analysis and gene sequence information to data visualization and updates on environmental events. CO-19 PDB 2.0 has the option to choose either the search page for the database or the autonotification page, providing a seamless retrieval of information. The dedicated page introduces six predefined charts, providing insights into crucial criteria such as the number of cases and deaths’, country-wise distribution, ‘new cases and recovery’, and rates of death and recovery. The global impact of COVID-19 on cancer patients has led to extensive collaboration among research institutions, producing numerous articles and computational studies published in international journals. A key feature of this initiative is auto daily notifications for standardized information updates. Users can easily navigate based on different categories or use a direct search option. The study offers up-to-date COVID-19 datasets and global statistics on COVID-19 and cancer, highlighting the top 10 cancers diagnosed in the USA in 2022. Breast and prostate cancers are the most common, representing 30% and 26% of new cases, respectively. The initiative also ensures the removal or replacement of dead links, providing a valuable resource for researchers, healthcare professionals, and individuals. The database has been implemented in PHP, HTML, CSS and MySQL and is available freely at https://www.co-19pdb.habdsk.org/.

Database URL: https://www.co-19pdb.habdsk.org/

## Linked entities

- **Diseases:** cancer (MONDO:0004992), breast cancer (MONDO:0004989), prostate cancer (MONDO:0005159)

## Full-text entities

- **Diseases:** CO-19 (MESH:D000094024), Cancer (MESH:D009369), COVID-19 (MESH:D000086382), Breast and prostate cancers (MESH:D001943), death (MESH:D003643)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11281848/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC11281848/full.md

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Source: https://tomesphere.com/paper/PMC11281848