An innovative user-friendly platform for Covid-19 pandemic databases and resources

Area of Science:

• * Virology and Epidemiology
• * Bioinformatics and Data Science
• * Public Health

Background:

• * The COVID-19 pandemic, caused by SARS-CoV-2, presents a global health crisis.
• * Existing COVID-19 databases are fragmented, hindering comprehensive research.
• * A centralized, accessible information source is crucial for the research community.

Purpose of the Study:

• * To develop the COVID-19 pandemic database (CO-19 PDB).
• * To consolidate diverse COVID-19 data onto a single, accessible platform.
• * To provide valuable insights for researchers studying COVID-19.

Main Methods:

• * Compilation of 59 updated databases from December 2019 to May 2021.
• * Categorization of databases into six types: digital image, genomic, literature, visualization tools, chemical structure, and social science.
• * Development utilizing web technologies including CSS, PHP, HTML, and Java.

Main Results:

• * The CO-19 PDB allows users to search databases via a search bar or by category.
• * The platform integrates data relevant to images, gene sequences, scientific literature, visualizations, chemical structures, and social impacts.
• * Utilized computer languages ensure a functional and interactive user experience.

Conclusions:

• * The CO-19 PDB successfully compiles up-to-date COVID-19 datasets in an accessible format.
• * It promotes extensive open data sharing for global researchers and the public.
• * Future developments are planned to enhance the platform's utility for ongoing research.