Identification of Research Priorities during the COVID-19 Pandemic: Implications for Its Management

Area of Science:

• Public Health
• Infectious Diseases
• Bibliometrics

Background:

• The COVID-19 pandemic significantly impacted global health and economies, necessitating rapid research efforts.
• Analyzing scientific literature is crucial for understanding research trends and resource allocation during health crises.
• Identifying research priorities helps bridge knowledge gaps and guide future scientific endeavors.

Purpose of the Study:

• To develop and validate a framework for identifying research priorities during pandemics using scientific literature analysis.
• To propose a metric model for quantifying research priority characteristics.
• To analyze COVID-19 literature to understand the dynamic shifts in research focus.

Main Methods:

• A novel framework for pandemic research priority identification based on scientific literature text analysis.
• A research priority metric model to measure the characteristics of identified priorities.
• Empirical analysis of COVID-19 scientific literature to identify dynamic research trends.

Main Results:

• The proposed framework successfully identified fine-grained, dynamic characteristics of research priorities throughout the COVID-19 pandemic.
• Analysis revealed shifts in research focus, highlighting emerging and declining areas of scientific interest.
• The study provides a quantitative approach to understanding research trends during a global health emergency.

Conclusions:

• The developed framework and metric model offer valuable tools for real-time monitoring of research priorities during public health emergencies.
• Findings inform the development of effective emergency scientific research response strategies.
• This research has implications for optimizing scientific resource allocation and management in future pandemics.