Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19

Area of Science:

• Infectious Diseases
• Public Health
• Information Science

Background:

• The COVID-19 pandemic highlighted the need for rapid information dissemination and disease management.
• Traditional research methods faced challenges in processing the vast amount of scientific literature and real-time data.

Purpose of the Study:

• To explore the role of emerging technologies in addressing the COVID-19 pandemic.
• To increase awareness of key technological tools for researchers and public health officials.

Main Methods:

• Review of prominent COVID-19 focused datasets, such as the COVID-19 Open Research Dataset (CORD-19).
• Analysis of artificial intelligence (AI)-powered search tools designed for biomedical literature.
• Examination of mobile communication technology applications in contact tracing.

Main Results:

• COVID-19 datasets provide centralized access to research findings.
• AI search tools enhance the efficiency of information retrieval from scientific literature.
• Mobile technology offers scalable solutions for contact tracing and outbreak monitoring.

Conclusions:

• Emerging technologies are crucial for an effective response to pandemics like COVID-19.
• Increased awareness and adoption of these tools can accelerate research and improve public health strategies.
• Continued development and integration of these technologies are essential for future preparedness against SARS-CoV-2.